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