Data Engineer
Summary
This role focuses on L2 data operations, providing support for production data pipelines, ETL/ELT processes, and incident management. The position also involves data migration support, stakeholder communication, and maintaining data quality and governance standards using tools like Microsoft PowerBI.
Position : Microsoft PowerBI Report Builder
Data Operations & L2 Support- Handle L2 support for data-related production issues, including troubleshooting, diagnosis, and resolution of data pipeline, interface, and ETL/ELT process failures.
- Monitor data pipelines, interfaces, ETL/ELT processes, data quality metrics, and platform performance on a daily basis.
- Participate in incident management lifecycle, including escalation handling, root cause analysis (RCA), and preventive action documentation.
- Ensure compliance with SLA, KPI, and operational governance requirements for L2 support tickets.
- Coordinate with L3 support and vendor teams for complex issue resolution when escalation is required.
- Maintain and update runbooks, support procedures, and knowledge base articles for recurring data issues.
- Collaborate with Data Custodians, Business Users, Application Support Teams, and Vendors to troubleshoot and resolve data issues.
- Provide timely status updates to stakeholders on incident resolution progress.
- Facilitate incident review discussions and service review meetings as required.
- Liaise with business users to understand data issue impacts and prioritize remediation activities.
- Support data migration projects involving data extraction, transformation, validation, and reconciliation activities.
- Assist in developing migration strategies, implementation plans, and testing approaches under senior guidance.
- Oversee data validation and reconciliation activities to ensure data integrity during migrations.
- Assist with data governance initiatives and ensure adherence to enterprise data standards.
- Work with data owners and custodians to improve data quality, lineage, and stewardship processes.
- Implement monitoring mechanisms to identify and prevent recurring data issues.
- Maintain operational documentation, runbooks, and support procedures.
- Identify recurring issues and propose automation opportunities to reduce manual effort.