Role & 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.

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

📌 Walk-in || Azure Data Engineer (Chennai)
🏢 Tata Consultancy Services
📍 Chennai