InfiCare Technologies

Design, develop, and optimize scalable data pipelines and workflows on Databricks, collaborate with AI/ML teams, and ensure data quality and compliance in cloud environments. | 5+ years software/data engineering experience including 2+ years with Databricks and Spark, strong Python, SQL, cloud expertise, infrastructure-as-code knowledge, and leadership skills. | Title: Sr. Data Engineer (Databricks) Location: USA/ Remote Job Type: 6-12 Months Contract About the Role We're looking for a hands-on Data Engineer to build reliable, scalable data pipelines on Databricks. You'll turn requirements into production-grade ELT/ETL jobs, Delta Lake tables, and reusable components that speed up our teams. In this role, you'll implement and improve reference patterns, optimize Spark for performance and cost, apply best practices with Unity Catalog and workflow orchestration, and ship high-quality code others can build on. If you love solving data problems at scale and empowering teammates through clean, well-documented solutions, you'll thrive here. Core Qualifications: Bachelor's degree in computer science, Engineering, or a related field 5+ years of experience in software/data engineering, including at least 2 years working with Databricks and Apache Spark Strong proficiency in Python, SQL, and PySpark Deep understanding of AWS and Azure Cloud service Experience with Databricks Data LakeHouse, Databricks Workflows, and Databricks SQL, dbt Solid grasp of data Lakehouse and warehousing architecture Prior experience supporting AI/ML workflows, including training data pipelines and model deployment support Familiarity with infrastructure-as-code tools like Terraform or CloudFormation Strong analytical and troubleshooting skills in a fast-paced, agile environment Excellent collaboration skills for interfacing with both technical and non-technical customer stakeholders Clear communicator with strong documentation habits Comfortable leading discussions, offering strategic input, and mentoring others Key Responsibilities: The ideal candidate will have a strong background in building scalable data pipelines, optimizing big data workflows, and integrating Databricks with cloud services This role will play a pivotal part in enabling the customer's data engineering and analytics initiatives-especially those tied to AI-driven solutions and projects-by implementing cloud-native architectures that fuel innovation and sustainability Partner directly with the customer's data engineering team to design and deliver scalable, cloud-based data solutions Execute complex ad-hoc queries using Databricks SQL to explore large lakehouse datasets and uncover actionable insights Leverage Databricks notebooks to develop robust data transformation workflows using PySpark and SQL Design, develop, and maintain scalable data pipelines using Apache Spark on Databricks Build ETL/ELT workflows with AWS and Azure Services Optimize Spark jobs for both performance and cost within the customer's cloud infrastructure Collaborate with data scientists, ML engineers, and business analysts to support AI and machine learning use cases, including data preparation, feature engineering, and model operationalization Contribute to the development of AI-powered solutions that improve operational efficiency, route optimization, and predictive maintenance in the waste management domain Implement CI/CD pipelines for Databricks jobs using GitHub Actions, Azure DevOps, or Jenkins Ensure data quality, lineage, and compliance through tools like Unity Catalog, Delta Lake, and AWS Lake Formation Troubleshoot and maintain production data pipelines Provide mentorship and share best practices with both internal and customer teams

Collaborate with business and tech teams to analyze requirements, maintain and troubleshoot data pipelines, conduct testing, and support enhancements for Microsoft BI and Power Platform solutions. | 5-7+ years as a systems or technical analyst with strong Microsoft BI and Power Platform experience, SQL knowledge, testing skills, and excellent communication. | Job Title: Technical Systems Analyst (Microsoft BI & Power Platform) Job Location: USA- Remote Job Type: Contract Job Summary: We are seeking a versatile and hands-on Technical Systems Analyst with strong experience in Microsoft technologies, particularly within BI and Power Platform. This role blends systems analysis, requirements gathering, workflow documentation, pipeline operations, troubleshooting, and testing. It is ideal for someone with a programming background who thrives in a small team environment where everyone rolls up their sleeves. You will work closely with business users, developers, and data engineers to describe integrated workflows, document requirements, run and maintain pipelines, troubleshoot and fix issues, and conduct and document testing to ensure reliable business solutions. Key Responsibilities: Business & Systems Analysis: • Collaborate with business stakeholders to gather, refine, and document functional and non-functional requirements. • Describe workflows and integrations across multiple systems. • Translate business needs into system specifications and process flows. • Maintain clear documentation for requirements and workflows. Data Pipeline Operations & Troubleshooting: • Run and maintain pipelines for business users to ensure accurate and timely delivery of data. • Troubleshoot and fix technical issues in data pipelines. • Ensure data integrity and reliability across staging, transformation, and reporting layers. • Document recurring issues and propose process or system improvements. QA & Testing: • Develop and manage test plans, test cases, and execution strategies. • Personally conduct and document testing results. • Ensure traceability of requirements to test outcomes. Support & Enhancements: • Provide escalation support for custom applications, dashboards, and workflows, including triage, root cause analysis, and coordination with dev teams. • Scope and assist with minor enhancements or configuration changes. • Maintain support documentation and user guides. Ideal Skills & Experience: • 5 to 7+ years in a systems analyst or technical analyst role. • Strong understanding of business processes, data workflows, and integrated systems. • Hands-on experience running, maintaining, troubleshooting, and fixing data pipelines. • Hands-on experience conducting and documenting testing. • Familiarity with Microsoft Power Platform (Power Apps, Power Automate). • Foundational understanding of SQL, data structures, and relational data. • Excellent communication and collaboration skills. Bonus (Nice to Have) • Proficiency with Microsoft Power BI (data modeling, DAX, visual design). • Experience designing dashboards and reports in Power BI. • Exposure to CI/CD processes or working in Git-based environments. • Knowledge of Azure Data Factory or other ETL tools. • Programming background with Microsoft technologies. This Role Is Ideal for Someone Who: • Is a "translator" between business and tech. • Has a programming background but now thrives as a systems analyst. • Is hands-on and thrives in a small, collaborative team. • Enjoys running, maintaining, troubleshooting, and fixing data pipelines. • Is organized, quality-focused, and not afraid to roll up their sleeves. • Describes workflows and documents requirements clearly.

Configure and customize Dynamics 365 modules, manage user access and security, oversee data integration, monitor system performance, support testing and deployment, maintain documentation, and provide first-line technical support. | Experience with Dynamics 365 F&O and CRM system configuration, security administration, data migration, system monitoring, testing, deployment, documentation, and user training. | Title-MS Dynamics 365 F&O & CRM System Analyst Location-Remote Mode Of Hire-Contract Job Details:: • System Configuration & Customization Configure modules, entities, workflows, and business rules to align with organizational requirements. • Dynamics 365 F&O & CRM System Configuration & Customization Configure modules, entities, workflows, and business rules to align with organizational requirements. • User Access & Security Management Administer user roles, permissions, and data access levels to ensure proper security and compliance. • Data Integration & Migration Oversee import/export of data • Monitoring & Performance Optimization Track system health, troubleshoot performance issues, and ensure platform uptime and responsiveness. • Testing & Deployment Support Participate in testing new features, upgrades; assist in deploying solutions into production. • Documentation & Training Maintain documentation on system processes, configurations, and train users or support teams on Dynamics functionality. • Issue Resolution & Technical Support Serve as first-line support for Dynamics-related issues and coordinate with Microsoft or internal tech teams for resolution.

Design and implement event-driven architecture solutions using Kafka, including governance, cluster management, and disaster recovery. | Experience architecting Kafka-based event streaming solutions, managing Kafka clusters, schema registries, replication, and disaster recovery in high availability environments. | Role: Event-Driven Architecture (EDA) Architect Mode Of hire: Contract Preferred Location: Miami, FL (Remote) Skills: Confluent Kafka, Kafka connect, Schema registry, Kafka admin APIs, Kubernetes, DevOps, AWS EKS / ELK • Experience in Architecture and solutioning around application event streaming defining data models, message schemas, and communication protocols for efficient and reliable data transmission across diverse systems and environments. • Must have designed and implemented robust governance frameworks to create clear boundaries and guidelines for the usage of Kafka, Schema Registry, Mirror Maker for Disaster Recovery (DR), and Migration Replication, ensuring data integrity and compliance with organizational standards • Solutioning around application event streaming on Kafka, defining data models, message schemas, and communication protocols. • Administration , Upgrades, Manage ACL's and Topic Creation, Rebalancing and Performance Tuning of cluster. • Worked on the design and created boundaries around the usage of Kafka, Schema Registry, Cluster Linking, Replication. • Infrastructure planning and implementation of Confluent Kafka in High Availability and DR based scenarios