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Tier-1 brand, mid-level generalist data role, Azure/PySpark skills, and metro locations create high competition.
Data engineering skills are broadly transferable, though Azure/PySpark specificity makes industry fit moderately sensitive.
Explicit 5+ years plus mandatory Azure, Databricks, PySpark, Synapse, and CI/CD skills increase shortlisting strictness.
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Develop and maintain ETL/ELT data pipelines using Azure Data Factory, Azure Databricks, and PySpark.
Build and optimize data models in Azure Synapse, Azure SQL, or Delta Lake.
Manage Azure storage solutions (ADLS Gen2, Blob Storage) and ensure data quality, reliability, performance, and security.
5+ years of work experience in relevant data engineering roles.
Proficiency with Azure Data Factory, Azure Databricks, PySpark, and Azure storage (ADLS Gen2, Blob Storage).
Bachelor of Engineering degree.
Location: Chennai (explicitly mentioned).
Experienced in end-to-end data pipeline design and implementation on Azure platform.
Skilled in automating deployments using CI/CD pipelines, specifically Azure DevOps.
Capable of cross-functional collaboration with data architects, analysts, and business teams for solution delivery.