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Azure Data Engineer

Tata Consultancy Services · Chennai, India

📅 06/08/2026
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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.
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