Keylent

Design, build, and optimize data pipelines and analytics solutions on Google Cloud Platform, including data extraction, transformation, loading, and modeling. | Minimum 8 years in data engineering, strong GCP service expertise, proficiency in SQL and Python, experience with data modeling, and familiarity with CI/CD and IaC tools. | Google Cloud Platform Data Engineer- Onsite (Atlanta/NJ)-Experience-12+ Years- need only locals or near by and need F2F interview for client round-Google Cloud Platform Certification mandatory. Kindly share profiles at 12+ years experience Locals Preferred We are seeking a skilled Google Cloud Platform (Google Cloud Platform) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with Google Cloud Platform data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization. Key Responsibilities: • Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems. • Build and maintain data models, data warehouses, and data lakes for analytics and reporting. • Design and implement scalable, secure, and efficient data pipelines on Google Cloud Platform using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting. • Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization. • Integrate data from on-premise and cloud systems using Cloud Storage, and APIs. • Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines. • Ensure security and compliance by applying IAM roles, encryption, and network controls. • Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions. • Implement best practices for data quality, monitoring, and governance. Required Skills and Experience: • Bachelor’s degree in Computer Science, Information Technology, or related field. • Minimum 8 years of experience in data engineering, preferably in a cloud environment. • Minimum 3 years of hands-on and strong expertise in Google Cloud Platform services: o BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring. • Proficiency in SQL, Python and Linux scripting. • Prior experience with ETL tools such as Datastage, Informatica, SSIS • Familiarity with data modeling (star/snowflake) and data warehouse concepts. • Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform). • Strong problem-solving and analytical mindset. • Effective communication and collaboration skills. • Ability to work in an agile and fast-paced environment. • Google Cloud Platform Professional Data Engineer or Cloud Architect certification is a plus.

Lead data integration and quality projects, document data interfaces and mappings, perform data sourcing and validation, support SDLC/Agile project management, and collaborate with offshore teams and developers. | Bachelor's in computer science or related field, strong analytical skills, SQL proficiency, experience in data warehousing/BI, project management experience, and familiarity with Alteryx and Salesforce preferred. | Lead Data Analyst Remote Job Title: Lead Data Analyst Qualifications: Bachelor s degree in computer science, information technology or a similar major is required. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Ability to communicate technically complex IT concepts to business clients Ability to understand the source data model, joins etc. Proficient in SQL for querying databases. Experience in Data Warehousing or Business Intelligence. Extensive background in data sourcing, profiling, and curation. Skilled in documenting complex data mappings. Proficiency with Alteryx is a plus. Familiarity with Salesforce Sales and/or Marketing Cloud is highly advantageous. Experience in data migrations between applications is a plus. Strong analytical skills with a keen eye for detail and accuracy. Proven track record in leading data integration and data quality projects. Expertise in the full Software Development Life Cycle (SDLC). Ability to communicate complex IT concepts to business clients effectively. Project management experience. Ability to multitask and manage priorities in a fast-paced environment. Responsibilities: Document data interfaces. Analyze and interpret data. Perform data sourcing activities. Develop business and technical requirement documents. Document complex data mappings. Design and execute data quality checks. Coordinate with Offshore team, act as an SME in clarifying functional and business questions from different teams Conduct data validation across multiple data sources using Alteryx. Assist with data modeling. Support project management and tracking, including regular meetings with PMs and developers, creating test plans, project plans, implementation plans, and tracking projects through the SDLC/Agile process. Collaborate with developers to ensure specifications are understood and followed. Support quality assurance and user acceptance testing. Provide post-production support for maintenance and enhancement solutions.