Data Engineer

Act as L2 production support for Azure Data Factory (ADF) pipelines, SQL jobs, and data workflows by doing deep‑dive analysis, defect identification, and permanent fixes (beyond monitoring). 
Perform root cause analysis (RCA) for recurring data issues, pipeline failures, performance bottlenecks, and data quality defects in migrated SSIS→ADF workloads. 
Debug and optimize SQL queries, stored procedures, transformations, and orchestration dependencies to ensure stable and reliable data processing. 
Handle complex incidents involving error handling, retries, alerts, schedules, triggers, and dependency failures, collaborating with L1 and engineering teams as needed. 
Support deployments, configuration fixes, CI/CD issues, secrets/RBAC, and production UAT/Hypercare activities with minimal business disruption. 
Good to have: Ability to analyze API/data issues in Node.js/TypeScript and coordinate with UI teams (React) for end‑to‑end production defect resolution.