TCS has been a great pioneer in feeding the fire of young techies like you. We are a global leader in the technology arena and there's nothing that can stop us from growing together.
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.
Good 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)
