Widenet Consulting

Design, develop, and deliver a scalable document management system on AWS, including document processing pipelines and backend services. | 3+ years of backend development experience with proficiency in AWS services, programming languages like Python, Java, or Node.js, and strong problem-solving skills. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a leading technology solutions provider specializing in cloud-based software development and digital transformation services. With a strong commitment to innovation and client success, we empower businesses across various industries to optimize their operations and achieve scalable growth. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and maintaining a robust document management system (DMS) deployed on AWS. You will collaborate with cross-functional teams to build scalable backend services that enhance document processing and storage capabilities. What You'll Do: - You will champion and own the design, development, and delivery of a scalable document management system. - You will create and evolve document processing pipelines to ensure efficient data handling. - You will develop and maintain backend services deployed on AWS infrastructure. - You will collaborate with frontend engineers, product managers, and QA teams to deliver high-quality software. - You will troubleshoot and resolve performance bottlenecks and system issues. - You will implement best practices for security, scalability, and maintainability. - You will participate in code reviews and contribute to continuous improvement initiatives. - You will document system designs and development processes for team knowledge sharing. What You Bring: - 3+ years of professional experience in backend software development. - Strong proficiency in programming languages such as Python, Java, or Node.js. - Experience with AWS services including Lambda, S3, DynamoDB, and EC2. - Solid understanding of RESTful API design and microservices architecture. - Familiarity with document management systems or related technologies. - Excellent problem-solving skills and ability to work independently in a remote environment. Bonus Points If You Have: - Experience with containerization technologies like Docker and Kubernetes. - Knowledge of CI/CD pipelines and automation tools. - Background in data processing or workflow automation. - Prior experience working in a fully remote US-based role. What We Offer: - We offer a fully remote work environment within the US. - We offer competitive salary and comprehensive health benefits. - We offer opportunities for professional growth and skill development. - We offer a collaborative and inclusive company culture. - We offer flexible work hours to support work-life balance. Ready to Apply? Please submit your resume and a cover letter detailing your relevant experience to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain a scalable document management system deployed on AWS, including document processing pipelines and backend services. | 3+ years of backend development experience with proficiency in AWS, programming languages like Python, Java, or Node.js, and knowledge of RESTful APIs and databases. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a forward-thinking technology firm specializing in cloud-based solutions and enterprise software development. We pride ourselves on delivering innovative and scalable products that empower businesses to streamline their operations and enhance productivity. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and maintaining a robust document management system (DMS) deployed on AWS. You will collaborate with cross-functional teams to build scalable backend services that support efficient document processing and storage. What You'll Do: - You will champion and own the design, development, and delivery of a scalable document management system. - You will create and evolve document processing pipelines to ensure efficient data handling. - You will develop and maintain backend services deployed on AWS, ensuring high availability and performance. - You will collaborate with frontend engineers, product managers, and QA teams to deliver seamless user experiences. - You will implement best practices for code quality, testing, and deployment. - You will troubleshoot and resolve technical issues to maintain system reliability. - You will contribute to architectural decisions and continuous improvement initiatives. - You will document system designs and development processes for team knowledge sharing. What You Bring: - 3+ years of experience in backend development, preferably with AWS cloud services. - Proficiency in programming languages such as Python, Java, or Node.js. - Strong understanding of RESTful API design and microservices architecture. - Experience with document management systems or similar data processing pipelines. - Familiarity with database technologies such as SQL and NoSQL. - Excellent problem-solving skills and ability to work independently in a remote setting. Bonus Points If You Have: - Experience with containerization technologies like Docker and Kubernetes. - Knowledge of CI/CD pipelines and automated testing frameworks. - Prior experience working in a fully remote US-based team. - Understanding of security best practices in cloud environments. What We Offer: - We offer a fully remote work environment within the US, promoting work-life balance. - We offer competitive salary and comprehensive health benefits. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture. - We offer flexible working hours to accommodate your lifestyle. Ready to Apply? Please submit your resume and a cover letter detailing your relevant experience to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain a scalable document management system on AWS, including document processing pipelines and storage solutions. | 3+ years backend development experience with proficiency in Python, Java, or Node.js, AWS services, RESTful APIs, microservices, and database management. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a forward-thinking technology firm specializing in cloud-based solutions and enterprise software development. We pride ourselves on delivering innovative and scalable products that empower businesses to streamline their operations and enhance productivity. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and maintaining a robust document management system (DMS) deployed on AWS. You will collaborate with cross-functional teams to create efficient document processing pipelines and storage solutions that meet the evolving needs of our clients. What You'll Do: - You will champion and own the design, development, and delivery of a scalable document management system. - You will create and evolve document processing pipelines and storage architectures on AWS. - You will collaborate with frontend engineers, product managers, and QA teams to ensure seamless integration and high-quality releases. - You will optimize backend services for performance, reliability, and security. - You will troubleshoot and resolve technical issues related to backend systems. - You will participate in code reviews and contribute to continuous improvement of development practices. - You will document system designs, APIs, and operational procedures. What You Bring: - You have 3+ years of experience in backend software development. - You possess strong proficiency in programming languages such as Python, Java, or Node.js. - You have hands-on experience with AWS services including S3, Lambda, DynamoDB, and EC2. - You understand RESTful API design and microservices architecture. - You have experience with database design and management, both SQL and NoSQL. - You are familiar with CI/CD pipelines and automated testing frameworks. Bonus Points If You Have: - Experience with document management systems or content management platforms. - Knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes. - Familiarity with security best practices in cloud environments. - Experience working in fully remote teams within the US. What We Offer: - We offer a fully remote work environment within the US. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture that values innovation. - We offer flexible work hours to support work-life balance. Ready to Apply? Please submit your resume and a cover letter detailing your relevant experience and why you are a great fit for the Backend Engineer role at Widenet Consulting. We look forward to hearing from you!

Design, develop, and deliver a robust document management system on AWS, including document processing pipelines and backend services. | Minimum 3 years backend development experience, proficiency in AWS services and programming languages like Python, Java, or Node.js, with strong problem-solving skills. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a leading technology solutions provider specializing in cloud-based software development and digital transformation services. With a strong commitment to innovation and client success, we empower businesses across the US to optimize their operations through cutting-edge technology. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and delivering a robust document management system (DMS) deployed on AWS. You will be responsible for creating and evolving document processing pipelines and storage solutions that meet high standards of performance and reliability. What You'll Do: - You will champion and own the design, development, and delivery of a scalable document management system. - You will create and evolve document processing pipelines to ensure efficient data handling. - You will develop and maintain backend services deployed on AWS infrastructure. - You will collaborate with cross-functional teams to integrate backend components with front-end applications. - You will implement best practices for code quality, testing, and deployment. - You will troubleshoot and resolve technical issues to maintain system reliability. - You will contribute to architectural decisions and continuous improvement initiatives. - You will ensure compliance with security and data privacy standards. What You Bring: - Minimum of 3 years of experience in backend software development. - Strong proficiency in AWS services such as Lambda, S3, DynamoDB, and EC2. - Experience with document management systems or similar data processing pipelines. - Proficiency in programming languages such as Python, Java, or Node.js. - Solid understanding of RESTful API design and microservices architecture. - Excellent problem-solving skills and ability to work independently in a remote environment. Bonus Points If You Have: - Experience with containerization technologies like Docker and Kubernetes. - Familiarity with CI/CD pipelines and DevOps practices. - Knowledge of security best practices in cloud environments. - Prior experience working in a fully remote US-based team. What We Offer: - We offer a fully remote position within the US with flexible working hours. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture that values innovation. - We offer the latest tools and technologies to support your work. Ready to Apply? Please submit your resume and a cover letter detailing your relevant experience to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain a scalable document management system on AWS, including document processing pipelines and storage optimization. | 3+ years of backend development experience with strong skills in AWS, programming languages like Python, Java, or Node.js, and familiarity with document management systems and database technologies. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a leading technology solutions provider specializing in cloud-based software development and digital transformation services. With a strong commitment to innovation and client success, we empower businesses across various industries to optimize their operations through cutting-edge technology. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and maintaining a robust document management system (DMS) deployed on AWS. You will collaborate with cross-functional teams to create scalable and efficient backend solutions that enhance document processing and storage capabilities. What You'll Do: - You will champion and own the design, development, and delivery of a scalable document management system. - You will create and evolve document processing pipelines to ensure efficient data handling. - You will manage and optimize storage solutions on AWS to support system performance and reliability. - You will collaborate with frontend developers, product managers, and other stakeholders to deliver seamless user experiences. - You will implement best practices for code quality, testing, and deployment. - You will troubleshoot and resolve backend issues to maintain system stability. - You will contribute to architectural decisions and continuous improvement initiatives. What You Bring: - You have 3+ years of experience in backend development, preferably with AWS cloud services. - You possess strong skills in programming languages such as Python, Java, or Node.js. - You have experience designing and implementing RESTful APIs and microservices. - You are familiar with document management systems or similar data processing platforms. - You have a solid understanding of database technologies, both SQL and NoSQL. - You demonstrate excellent problem-solving skills and the ability to work independently in a remote environment. Bonus Points If You Have: - Experience with AWS services such as Lambda, S3, DynamoDB, and CloudFormation. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Familiarity with CI/CD pipelines and automated testing frameworks. - Prior experience working in a fully remote, US-based team. What We Offer: - We offer a fully remote work environment within the US, promoting work-life balance. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture that values innovation. - We offer flexible working hours to accommodate diverse lifestyles. Ready to Apply? To apply, please submit your resume and a cover letter detailing your relevant experience to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain a scalable document management system on AWS, including document processing pipelines and backend services. | 3+ years backend development experience with proficiency in Python, Java, or Node.js, AWS services, RESTful APIs, and database management. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a leading technology solutions provider specializing in cloud-based software development and digital transformation services. With a strong commitment to innovation and client success, we empower businesses across various industries to optimize their operations and achieve scalable growth. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and maintaining a robust document management system (DMS) deployed on AWS. You will collaborate with cross-functional teams to build scalable backend services that enhance document processing and storage capabilities. What You'll Do: - You will champion and own the design, development, and delivery of a scalable document management system. - You will create and evolve document processing pipelines to ensure efficient data handling. - You will develop and maintain backend services deployed on AWS infrastructure. - You will collaborate with frontend engineers, product managers, and QA teams to deliver high-quality software. - You will troubleshoot and resolve technical issues to maintain system reliability. - You will implement best practices for code quality, security, and performance optimization. - You will participate in code reviews and contribute to continuous improvement initiatives. - You will document system architecture and development processes for team knowledge sharing. What You Bring: - 3+ years of experience in backend software development, preferably with cloud-based systems. - Strong proficiency in programming languages such as Python, Java, or Node.js. - Hands-on experience with AWS services including Lambda, S3, DynamoDB, and API Gateway. - Solid understanding of RESTful API design and microservices architecture. - Experience with database design and management, both SQL and NoSQL. - Excellent problem-solving skills and ability to work independently in a remote environment. Bonus Points If You Have: - Experience with document management systems or content management platforms. - Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes. - Knowledge of CI/CD pipelines and automated testing frameworks. - Prior experience working in fully remote teams within the US. What We Offer: - We offer a fully remote work environment within the US, promoting work-life balance. - We offer competitive salary and comprehensive health benefits. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture. - We offer flexible working hours to accommodate diverse schedules. Ready to Apply? If you are passionate about backend development and eager to contribute to innovative cloud solutions, please submit your resume and cover letter to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain scalable data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, Python, and SQL, plus strong collaboration and communication skills. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving business growth and operational excellence. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in supporting the delivery of data for AI and machine learning use cases. You will focus on building robust data pipelines and models, ensuring high-quality data availability for enterprise AI initiatives. What You'll Do: - You will design, develop, and maintain scalable data pipelines using Databricks to process raw and clean data layers. - You will build and optimize data models and transformations in Snowflake to support AI/ML workloads. - You will implement data transformation and testing frameworks using DBT to ensure data quality and reliability. - You will collaborate with data scientists and AI teams to understand data requirements and deliver solutions. - You will monitor and troubleshoot data pipeline performance and resolve issues proactively. - You will document data processes and maintain best practices for data engineering. - You will contribute to the continuous improvement of the Enterprise Data Platform’s AI data capabilities. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Proficiency in Databricks, Snowflake, and DBT for data processing, warehousing, and transformation. - Strong programming skills in Python and SQL. - Experience with data modeling, ETL/ELT processes, and data quality testing. - Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly. Bonus Points If You Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of machine learning frameworks and AI model deployment. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Background in big data technologies such as Spark or Kafka. What We Offer: - We offer competitive salary and comprehensive health benefits. - We offer opportunities for professional growth and continuous learning. - We offer a flexible work environment with remote work options. - We offer a collaborative and inclusive company culture. - We offer access to the latest tools and technologies in AI and data engineering. Ready to Apply? Please submit your resume and a cover letter detailing your experience with AI data engineering to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and deliver a robust document management system on AWS, including document processing pipelines and backend services. | 3+ years of backend development experience with proficiency in Python, Java, or Node.js and hands-on AWS experience. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a leading technology solutions provider specializing in cloud-based software development and digital transformation services. With a strong commitment to innovation and client success, we empower businesses across the US to optimize their operations through cutting-edge technology. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and delivering a robust document management system (DMS) deployed on AWS. You will be responsible for creating and evolving document processing pipelines and storage solutions that meet high standards of performance and reliability. What You'll Do: - You will champion and own the design, development, and delivery of a scalable document management system. - You will create and evolve document processing pipelines to ensure efficient data handling. - You will develop and maintain backend services deployed on AWS infrastructure. - You will collaborate with cross-functional teams to integrate backend components with frontend applications. - You will implement best practices for code quality, testing, and deployment. - You will troubleshoot and resolve performance bottlenecks and system issues. - You will contribute to architectural decisions and continuous improvement initiatives. - You will ensure security and compliance standards are met within the backend systems. What You Bring: - You have 3+ years of experience in backend software development. - You possess strong proficiency in programming languages such as Python, Java, or Node.js. - You have hands-on experience with AWS services including Lambda, S3, and DynamoDB. - You are skilled in designing and implementing RESTful APIs. - You have a solid understanding of database technologies and data storage solutions. - You demonstrate excellent problem-solving skills and the ability to work independently. Bonus Points If You Have: - Experience with document management systems or content management platforms. - Familiarity with containerization technologies like Docker and Kubernetes. - Knowledge of CI/CD pipelines and automated deployment tools. - Exposure to security best practices in cloud environments. What We Offer: - We offer a fully remote work environment within the US. - We offer competitive salary and comprehensive health benefits. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture. - We offer flexible work hours to support work-life balance. Ready to Apply? Please submit your resume and a cover letter detailing your relevant experience to careers@widenetconsulting.com. We look forward to hearing from you!

Designing and implementing scalable data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, SQL, and programming in Python or Scala. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a forward-thinking technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data ecosystems, enabling smarter decision-making and operational excellence. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in delivering robust data solutions that power AI and machine learning initiatives. You will design and implement scalable data pipelines and models, ensuring high-quality data availability for enterprise AI use cases. What You'll Do: - You will build and maintain data pipelines using Databricks to manage raw and clean data layers. - You will develop and optimize data warehouse solutions in Snowflake to support AI workloads. - You will design and implement data transformations and testing frameworks using DBT. - You will collaborate with data scientists and AI teams to understand data requirements and deliver actionable datasets. - You will monitor data quality and pipeline performance, troubleshooting issues proactively. - You will document data processes and maintain best practices for data engineering. - You will contribute to the continuous improvement of the Enterprise Data Platform’s AI capabilities. - You will stay current with emerging data engineering technologies and recommend innovative solutions. What You Bring: - You have 3+ years of experience in data engineering, preferably with AI/ML data pipelines. - You are proficient in Databricks, Snowflake, and DBT. - You have strong SQL skills and experience with data modeling and ETL processes. - You possess solid programming skills in Python or Scala. - You have experience working in Agile environments and collaborating with cross-functional teams. Bonus Points If You Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of machine learning frameworks and AI model deployment. - Familiarity with data governance and security best practices. - Experience with containerization tools like Docker and orchestration with Kubernetes. What We Offer: - We offer competitive salary and comprehensive health benefits. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture. - We offer access to cutting-edge tools and technologies. Ready to Apply? Please submit your resume and a cover letter detailing your experience with AI data engineering to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and deliver a robust document management system on AWS, including document processing pipelines and storage solutions. | 3+ years backend development experience, proficiency in Python/Java/Node.js, AWS services expertise, and strong problem-solving skills. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a leading technology solutions provider specializing in cloud-based software development and digital transformation services. With a strong commitment to innovation and client success, we empower businesses across various industries to optimize their operations through cutting-edge technology. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and maintaining scalable backend systems. Your primary focus will be on building a robust document management system (DMS) deployed on AWS, ensuring high performance, security, and reliability. What You'll Do: - You will champion and own the design, development, and delivery of a robust document management system (DMS) deployed on AWS. - You will create and evolve document processing pipelines and storage solutions to handle large volumes of data efficiently. - You will collaborate with cross-functional teams including frontend developers, product managers, and QA to deliver high-quality software. - You will implement best practices for code quality, testing, and deployment in a continuous integration/continuous deployment (CI/CD) environment. - You will monitor system performance and troubleshoot issues to ensure optimal uptime and responsiveness. - You will contribute to architectural decisions and help define technical standards and guidelines. - You will stay current with emerging backend technologies and AWS services to continuously improve the system. What You Bring: - 3+ years of professional experience in backend software development. - Strong proficiency in programming languages such as Python, Java, or Node.js. - Hands-on experience with AWS services including Lambda, S3, DynamoDB, and EC2. - Solid understanding of RESTful API design and microservices architecture. - Experience with database design and management, both SQL and NoSQL. - Excellent problem-solving skills and the ability to work independently in a remote setting. Bonus Points If You Have: - Experience with document management systems or content management platforms. - Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes. - Knowledge of security best practices in cloud environments. - Prior experience working in fully remote teams within the US. What We Offer: - We offer a fully remote work environment within the US, promoting work-life balance. - We offer competitive salary and performance-based bonuses. - We offer opportunities for professional growth and continuous learning. - We offer comprehensive health, dental, and vision insurance plans. - We offer a collaborative and inclusive company culture that values innovation and teamwork. Ready to Apply? To apply, please submit your resume and a cover letter detailing your relevant experience to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and deliver a robust document management system on AWS, including document processing pipelines and storage solutions. | 3+ years of backend development experience with proficiency in Python, Java, or Node.js, and hands-on AWS experience. | Job Title: Backend Engineer Company Overview: Widenet Consulting is a leading technology solutions provider specializing in cloud-based software development and digital transformation services. With a strong commitment to innovation and client success, we empower businesses across various industries to optimize their operations through cutting-edge technology. Role Overview: As a Backend Engineer at Widenet Consulting, you will play a critical role in designing, developing, and maintaining scalable backend systems. You will focus on building a robust document management system (DMS) deployed on AWS, ensuring high performance, security, and reliability. What You'll Do: - You will champion and own the design, development, and delivery of a robust document management system (DMS) deployed on AWS. - You will create and evolve document processing pipelines and storage solutions to handle large volumes of data efficiently. - You will collaborate with cross-functional teams including frontend developers, product managers, and QA to deliver high-quality software. - You will implement best practices for code quality, testing, and deployment. - You will monitor system performance and troubleshoot issues to ensure optimal uptime and reliability. - You will contribute to architectural decisions and help improve system scalability and security. - You will document technical specifications and provide support for ongoing maintenance. What You Bring: - 3+ years of experience in backend development with strong proficiency in languages such as Python, Java, or Node.js. - Hands-on experience with AWS services including Lambda, S3, DynamoDB, and EC2. - Solid understanding of RESTful API design and microservices architecture. - Experience with database design and management, both SQL and NoSQL. - Strong problem-solving skills and the ability to work independently in a remote environment. - Excellent communication skills and a collaborative mindset. Bonus Points If You Have: - Experience with document management systems or content management platforms. - Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes. - Knowledge of CI/CD pipelines and infrastructure as code (IaC) tools like Terraform. - Prior experience working in a fully remote US-based team. What We Offer: - We offer a fully remote work environment within the US, promoting work-life balance. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture that values innovation. - We offer flexible working hours to accommodate diverse schedules. Ready to Apply? To apply, please submit your resume and a cover letter detailing your relevant experience to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, Python, and SQL. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving smarter business decisions and competitive advantage. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in delivering high-quality data pipelines and models to support AI and machine learning initiatives. You will work closely with data scientists and engineers to build scalable data infrastructure using modern tools and platforms. What You'll Do: - You will design, develop, and maintain robust data pipelines using Databricks to process raw and clean data layers. - You will build and optimize data models and transformations in Snowflake to support AI/ML use cases. - You will implement data transformation and testing workflows using DBT to ensure data quality and reliability. - You will collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. - You will monitor and troubleshoot data pipeline performance and resolve issues proactively. - You will document data processes and maintain best practices for data engineering. - You will stay current with emerging data technologies and recommend improvements to existing systems. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Proficiency with Databricks, Snowflake, and DBT for data processing, warehousing, and transformation. - Strong programming skills in Python and SQL. - Experience with data modeling, ETL/ELT processes, and data quality testing. - Ability to work collaboratively in agile teams and communicate technical concepts effectively. Bonus Points If You Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of machine learning frameworks and AI model deployment. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Background in big data technologies such as Spark or Kafka. What We Offer: - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. - We offer access to the latest tools and technologies to support your success. Ready to Apply? To join our dynamic team at Widenet Consulting, please submit your resume and a cover letter outlining your experience and interest in the AI Data Engineer role to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, Python, and SQL. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving smarter business decisions and competitive advantage. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in delivering high-quality data pipelines and models to support AI and machine learning initiatives. You will work closely with data scientists and engineers to build scalable data infrastructure using modern tools and platforms. What You'll Do: - You will design, develop, and maintain robust data pipelines using Databricks to process raw and clean data layers. - You will build and optimize data models and transformations in Snowflake to support AI/ML use cases. - You will implement data transformation and testing workflows using DBT to ensure data quality and reliability. - You will collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. - You will monitor and troubleshoot data pipeline performance and resolve issues proactively. - You will document data processes and maintain best practices for data engineering. - You will stay current with emerging data technologies and recommend improvements to existing systems. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Proficiency with Databricks, Snowflake, and DBT for data processing, warehousing, and transformation. - Strong programming skills in Python and SQL. - Experience with data modeling, ETL/ELT processes, and data quality testing. - Ability to work collaboratively in agile teams and communicate technical concepts effectively. Bonus Points If You Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of machine learning frameworks and AI model deployment. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Background in big data technologies such as Spark or Kafka. What We Offer: - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. - We offer access to the latest tools and technologies to support your success. Ready to Apply? To join our dynamic team at Widenet Consulting, please submit your resume and a cover letter outlining your experience and interest in the AI Data Engineer role to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, Python, and SQL. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving smarter business decisions and competitive advantage. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in delivering high-quality data pipelines and models to support AI and machine learning initiatives. You will work closely with data scientists and engineers to build scalable data infrastructure using modern tools and platforms. What You'll Do: - You will design, develop, and maintain robust data pipelines using Databricks to process raw and clean data layers. - You will build and optimize data models and transformations in Snowflake to support AI/ML use cases. - You will implement data transformation and testing workflows using DBT to ensure data quality and reliability. - You will collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. - You will monitor and troubleshoot data pipeline performance and resolve issues proactively. - You will document data processes and maintain best practices for data engineering. - You will stay current with emerging data technologies and recommend improvements to existing systems. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Proficiency with Databricks, Snowflake, and DBT for data processing, warehousing, and transformation. - Strong programming skills in Python and SQL. - Experience with data modeling, ETL/ELT processes, and data quality testing. - Ability to work collaboratively in agile teams and communicate technical concepts effectively. Bonus Points If You Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of machine learning frameworks and AI model deployment. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Background in big data technologies such as Spark or Kafka. What We Offer: - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. - We offer access to the latest tools and technologies to support your success. Ready to Apply? To join our dynamic team at Widenet Consulting, please submit your resume and a cover letter outlining your experience and interest in the AI Data Engineer role to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, Python, and SQL. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving smarter business decisions and competitive advantage. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in delivering high-quality data pipelines and models to support AI and machine learning initiatives. You will work closely with data scientists and engineers to build scalable data infrastructure using modern tools and platforms. What You'll Do: - You will design, develop, and maintain robust data pipelines using Databricks to process raw and clean data layers. - You will build and optimize data models and transformations in Snowflake to support AI/ML use cases. - You will implement data transformation and testing workflows using DBT to ensure data quality and reliability. - You will collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. - You will monitor and troubleshoot data pipeline performance and resolve issues proactively. - You will document data processes and maintain best practices for data engineering. - You will stay current with emerging data technologies and recommend improvements to existing systems. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Proficiency with Databricks, Snowflake, and DBT for data processing, warehousing, and transformation. - Strong programming skills in Python and SQL. - Experience with data modeling, ETL/ELT processes, and data quality testing. - Ability to work collaboratively in agile teams and communicate technical concepts effectively. Bonus Points If You Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of machine learning frameworks and AI model deployment. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Background in big data technologies such as Spark or Kafka. What We Offer: - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. - We offer access to the latest tools and technologies to support your success. Ready to Apply? To join our dynamic team at Widenet Consulting, please submit your resume and a cover letter outlining your experience and interest in the AI Data Engineer role to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, SQL, and cloud platforms. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving business growth and operational excellence. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in supporting the delivery of data for AI and machine learning use cases. You will focus on building robust data pipelines and models using modern data platforms to enable scalable and efficient AI solutions. What You'll Do: - You will design, develop, and maintain data pipelines using Databricks to process raw and clean data layers. - You will build and optimize data models and transformations in Snowflake to support AI/ML workloads. - You will implement data transformations and testing frameworks using DBT to ensure data quality and reliability. - You will collaborate with data scientists and AI engineers to understand data requirements and deliver solutions. - You will monitor and troubleshoot data pipeline performance and resolve issues proactively. - You will document data workflows and maintain best practices for data engineering processes. - You will contribute to the continuous improvement of the Enterprise Data Platform to support evolving AI needs. - You will stay current with emerging data technologies and recommend innovative solutions. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Proficiency with Databricks, Snowflake, and DBT for data processing, warehousing, and transformation. - Strong SQL skills and experience with data modeling and ETL/ELT processes. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Experience working in Agile teams and collaborating cross-functionally. - Excellent problem-solving skills and attention to detail. Bonus Points If You Have: - Experience with machine learning frameworks or supporting AI model deployment. - Knowledge of Python or Scala for data engineering tasks. - Understanding of data governance, security, and compliance standards. - Prior consulting experience or working in fast-paced environments. What We Offer: - We offer competitive salary and performance-based bonuses. - We offer comprehensive health, dental, and vision insurance plans. - We offer flexible work arrangements including remote work options. - We offer professional development opportunities and training programs. - We offer a collaborative and inclusive company culture that values innovation. Ready to Apply? To apply, please submit your resume and a cover letter detailing your relevant experience to careers@widenetconsulting.com. We look forward to hearing from you!

Design, develop, and maintain data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with expertise in Databricks, Snowflake, DBT, SQL, and Python, plus strong collaboration and communication skills. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving business growth and operational excellence. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in supporting the delivery of data for AI and machine learning use cases. You will focus on building robust data pipelines and models using modern data platforms to enable scalable and efficient AI solutions. What You'll Do: - You will design, develop, and maintain data pipelines using Databricks to process raw and clean data layers. - You will build and optimize data models and transformations in Snowflake to support AI/ML workloads. - You will implement data transformations and testing frameworks using DBT to ensure data quality and reliability. - You will collaborate with data scientists and AI engineers to understand data requirements and deliver solutions. - You will monitor and troubleshoot data pipeline performance and resolve issues proactively. - You will document data workflows and maintain best practices for data engineering processes. - You will contribute to the continuous improvement of the Enterprise Data Platform to support evolving AI needs. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Strong expertise in Databricks, Snowflake, and DBT. - Proficiency in SQL and Python for data manipulation and automation. - Experience with data warehousing concepts and ETL/ELT processes. - Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly. Bonus Points If You Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of machine learning frameworks and AI model deployment. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Background in data governance and security best practices. What We Offer: - We offer competitive salary and performance-based bonuses. - We offer comprehensive health, dental, and vision insurance plans. - We offer flexible work arrangements including remote work options. - We offer professional development opportunities and support for certifications. - We offer a collaborative and inclusive work environment that values innovation. Ready to Apply? Please submit your resume and a cover letter detailing your experience with AI data engineering to careers@widenetconsulting.com. We look forward to exploring how you can contribute to our team.

Design, develop, and maintain data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, Python, and SQL, plus strong collaboration and communication skills. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving smarter business decisions and competitive advantage. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in delivering high-quality data pipelines and models to support AI and machine learning initiatives. You will work closely with data scientists and engineers to build scalable data infrastructure using modern tools and platforms. What You'll Do: - You will design, develop, and maintain robust data pipelines using Databricks to process raw and clean data layers. - You will implement data transformations and testing frameworks with DBT to ensure data quality and reliability. - You will manage and optimize data storage solutions within Snowflake data warehouse environments. - You will collaborate with AI/ML teams to understand data requirements and deliver tailored datasets. - You will monitor pipeline performance and troubleshoot data issues to maintain seamless data flow. - You will document data processes and contribute to best practices for data engineering. - You will stay current with emerging data technologies and recommend improvements to existing systems. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Proficiency in Databricks, Snowflake, and DBT for data processing, warehousing, and transformation. - Strong programming skills in Python and SQL for data manipulation and automation. - Experience with data modeling, ETL/ELT processes, and data quality testing. - Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly. Bonus Points If You Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of machine learning frameworks and model deployment. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Background in big data technologies such as Spark or Kafka. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and growth. - We offer competitive salary packages and performance-based bonuses. - We offer comprehensive health, dental, and vision insurance plans. - We offer flexible work arrangements including remote work options. - We offer professional development opportunities and support for continuous learning. Ready to Apply? To join our team as an AI Data Engineer, please submit your resume and cover letter through our careers page at www.widenetconsulting.com/careers. We look forward to exploring how you can contribute to our innovative projects.

Design, develop, and maintain data pipelines and models using Databricks, Snowflake, and DBT to support AI/ML use cases. | 3+ years of data engineering experience with proficiency in Databricks, Snowflake, DBT, Python, SQL, and cloud platforms. | Job Title: AI Data Engineer Company Overview: Widenet Consulting is a leading technology consulting firm specializing in data-driven solutions and AI innovations. We partner with enterprises to transform their data into actionable insights, driving smarter business decisions and competitive advantage. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges. Role Overview: As an AI Data Engineer at Widenet Consulting, you will play a critical role in delivering high-quality data pipelines and models that support AI and machine learning initiatives. You will work closely with data scientists and engineers to build scalable data infrastructure using modern tools and platforms. What You'll Do: - You will design, develop, and maintain robust data pipelines using Databricks to process raw and clean data layers. - You will implement data transformations and testing frameworks with DBT to ensure data quality and reliability. - You will manage and optimize data storage solutions within Snowflake data warehouse environments. - You will collaborate with AI/ML teams to understand data requirements and deliver tailored datasets. - You will monitor pipeline performance and troubleshoot data issues to maintain seamless data flow. - You will document data processes and contribute to best practices for data engineering. - You will stay current with emerging data technologies and recommend improvements to existing systems. What You Bring: - 3+ years of experience in data engineering, preferably with a focus on AI/ML data pipelines. - Proficiency in Databricks, Snowflake, and DBT for data processing, warehousing, and transformation. - Strong programming skills in Python and SQL for data manipulation and automation. - Experience with cloud platforms such as AWS, Azure, or GCP. - Solid understanding of data modeling, ETL processes, and data quality frameworks. Bonus Points If You Have: - Experience with machine learning frameworks and model deployment. - Knowledge of containerization tools like Docker and orchestration with Kubernetes. - Familiarity with data governance and security best practices. - Background in big data technologies such as Spark or Kafka. What We Offer: - We offer a dynamic and collaborative work environment that fosters innovation and growth. - We offer competitive salary packages and comprehensive health benefits. - We offer opportunities for professional development and continuous learning. - We offer flexible work arrangements including remote work options. - We offer the chance to work on cutting-edge AI projects with industry-leading clients. Ready to Apply? If you are excited to contribute to transformative AI data solutions, please submit your resume and cover letter to careers@widenetconsulting.com. We look forward to hearing from you!