Azure Data Engineer
Summary
Support and administer TCS's Azure data platforms (Data Factory, Synapse, Fabric, Data Lake, Databricks) in Chennai — monitoring and troubleshooting ETL/ELT, batch, and streaming pipelines to meet SLAs, plus data governance, security, and AI platform support. Weekend walk-in interviews; only Chennai-based candidates.
Interview Mode : Weekend Walkin drive(Face to Face )
Interview Date : 08 -Aug -26(Saturday )
Note : Only candidates currently located in Chennai should apply.
Role : Azure Data Engineer
Experience : 4 to 8 years
Location : chennai
Must have skills:
- Monitor, troubleshoot, and restore ETL/ELT, batch, streaming, and orchestration workflows, ensuring adherence to SLA and operational commitments.
- Investigate and resolve data pipeline failures, schema mismatches, ingestion issues, data quality anomalies, and upstream/downstream integration problems.
Roles and responsibilities:
- Manage and support Azure data platforms, including Data Factory, Synapse, Fabric, Data Lake, Databricks, and related data engineering services to ensure high availability and performance.
- Perform platform administration activities such as capacity management, performance tuning, partition maintenance, workload optimization, and resource utilization monitoring.
- Support AI and Agentic AI platforms by monitoring orchestration frameworks, resolving workflow failures, validating prompt routing, and troubleshooting vector database and model runtime issues.
- Manage data access, security, governance, RBAC provisioning, credential rotation, audit reviews, compliance controls, and data protection standards.
- Maintain Master Data Management (MDM), metadata catalogs, data lineage, data dictionaries, reference data, and governance processes across enterprise platforms.
- Collaborate with application, cloud, analytics, and engineering teams to support integrations across APIs, event-driven architectures, Power Platform, and enterprise data ecosystems.
- Execute deployment, release, configuration, and change management activities, including environment support, version control, validation, and production readiness checks.
- Produce operational dashboards, incident trend reports, platform health scorecards, capacity forecasts, runbooks, and continuous improvement recommendations to enhance reliability and operational excellence.