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Tier-1 employer, mid-level data role, metro location, and popular Azure/Databricks skillset increase applicant competition.
Core data engineering skills (Azure, PySpark, ETL) are broadly transferable across industries.
Mandatory Azure Databricks, ADF, Synapse, PySpark, and explicit 5+ years make screening fairly strict.
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Own end-to-end data engineering tasks using Azure Data Factory, Azure Databricks, Synapse, and Pyspark including establishing cloud connectivity between systems like ADLS, ADF, Synapse, and Databricks.
Design, load, and maintain large SQL data marts handling massive volumes of data with efficient extraction, ETL, reporting, and performance tuning.
Troubleshoot, support, and secure large databases covering testing, user access management, backup, archiving, and capacity planning.
At least 5 years of experience working with large SQL data marts and relational databases.
Strong skills in TSQL programming, Azure Data Factory framework, Azure Databricks, Synapse, Pyspark, and Python scripting.
Bachelor of Engineering degree.
Location requirement: Bengaluru.
Experienced in handling large-scale cloud data engineering operations and troubleshooting in Azure ecosystem.
Able to independently manage end-to-end data processing workflows including ETL, security, and database administration.
Exposure to financial institution data mart and dashboarding (Tableau) is a plus but not mandatory.