Available for Inperson Interview on 22nd August at Bengaluru: Yes/No
Key Responsibilities
Design and develop scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks.
Build and optimize batch and real-time data processing solutions using PySpark and Spark SQL.
Work with Azure Data Lake Storage (ADLS Gen2), Delta Lake, and contemporary Lakehouse architectures.
Develop data models, transformations, and data integration workflows.
Implement data quality, governance, lineage, and security controls.
Optimize Spark jobs, SQL queries, and large-scale data processing workloads.
Collaborate with BI, Analytics, Data Science, and business teams.
Automate deployments using CI/CD and DevOps best practices.
Support data migration, integration, and cloud modernization initiatives
📌 Walk In Azure Data Engineer Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru
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