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What we are looking for

Role: Azure Data Engineer

Experience Range: 4 to 8 Years

Location: Chennai

Interview Date: 8th August 26 (09:00 AM to 12:00 PM)

Interview Venue: Tata Consultancy Services (TCS) Plot No. 1/G1, Sipcot IT Park, Navallar Post, Siruseri, Chennai – 603103.

Note-While coming for Walkin:-

· Please carry 2 or more copies of updated resume, 2 Passport size photo along with Govt ID proof(Xerox 2 copies)

· Please do not bring personal laptop or electronic gadgets to TCS premises.

Must Have

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.

Valuable to Have

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.

Essential

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.

Minimum

Qualification

15 years of full-time education

Minimum percentile of 50% in 10th, 12th, UG & PG (if applicable)

📌 Azure Data Engineer 8th August 26 Walkin Chennai
🏢 Tata Consultancy Services
📍 Chennai