Data Engineer

Data Engineer Experience: 03 to 08 Years Role : Senior Engineer / Technical Lead /Senior Technical Lead Job Location : Greater Noida, Mumbai, Pune, Bangalore & Hyderabad Mandate Skill: ETL, SSIS, SSRS, SQL, Datawarehouse. Coforge is seeking an experienced Senior Data Engineer with strong expertise in ETL, SQL, SSIS & SSRS. The role involves designing, developing, and optimizing scalable data pipelines, enabling advanced analytics, and collaborating with cross‑functional teams to deliver high‑quality data solutions.

Key Responsibilities Data Engineer to support USIC data operations, BondPro data pipelines, and overall data quality across the platform. The role involves developing and maintaining ETL processes, managing support tables, performing SQL-based data extraction, conducting quality checks, and ensuring smooth, accurate flow of data between systems. This individual will work closely with project managers, business analysts, and technical teams to maintain data consistency, troubleshoot issues, and support ongoing enhancements.

ETL Development & Maintenance : Design, build, and maintain ETL pipelines for ingesting, transforming, and loading BondPro data. Optimize existing ETL processes for performance, scalability, and reliability. Automate repetitive workflows and reduce manual interventions.

USIC Data Handling: Manage inbound and outbound data flows for USIC systems. Analyze USIC data structures and ensure accurate integration with downstream applications. Identify data mismatches, integrity issues, and implement fixes.

Support Tables & Metadata Management: Maintain and update support tables required for processing rules, lookup logic, and mapping definitions. Ensure version control, auditability, and proper documentation of all support table changes. Collaborate with business users to validate changes before deployment.

Data Extraction & SQL Development : Perform complex SQL queries for data extraction, transformation, and reporting needs. Build stored procedures, views, and functions as needed. Support ad-hoc and scheduled data pull requests from internal and client stakeholders.

Data Quality Assurance : Implement and enforce data validation, balancing, reconciliation, and quality checks. Identify data anomalies and work with relevant teams to resolve root causes. Create automated data quality dashboards and defect alerts.

Troubleshooting & Production Support : Monitor daily data loads and address failures promptly. Analyze performance issues and implement tuning or fixes. Support UAT and production deployments for data-related enhancements.

Documentation & Collaboration: Create clear, detailed documentation for ETL flows, data dictionary, mapping sheets, and support tables. Collaborate with cross functional teams including QA, application developers, and business stakeholders. Participate in design discussions and process-improvement initiatives. 8.

Able to write and execute Github Copilot case. Education / Qualification: BE/ B.Tech / BCA / B.Sc. / M.CA / M.TECH / Any Graduate Please share your profile at [email protected]