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Strong brand, popular mid-level Data Engineer role in Bangalore with broad Azure/Databricks requirements.
Data engineering skills are transferable but Azure/Databricks specialization moderately limits cross-industry fit.
Explicit 6+ years and mandatory Azure, Spark, Databricks, Python, and SQL requirements make filtering strict.
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Design, build, and maintain ETL/ELT data pipelines using Apache Spark on Azure Databricks and HDInsight.
Manage Azure data lakes including data layering, schema evolution, and performance optimization of Spark jobs and clusters.
Implement monitoring, testing, security, governance, and CI/CD for data workflows; collaborate cross-functionally to deliver reliable datasets for BI and ML.
5-7 years of experience as a Data Engineer or similar with strong Azure data services focus.
Expertise in Apache Spark (PySpark/Scala), Azure Databricks/HDInsight, Azure Data Factory orchestration, and Python with SQL.
Proficient with Azure Blob Storage/ADLS Gen2, Azure Key Vault, monitoring tools, and version control (Git).
Bachelor's degree required (BE/B.Tech/MBA/MCA).
Experienced with large-scale batch data processing and advanced Spark optimization techniques on Azure.
Familiarity with data modeling best practices, performance tuning, and production pipeline operationalization.
Comfortable working in cross-functional teams, supporting CI/CD pipelines, security, compliance, and infrastructure-as-code automation.