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Tier-1 brand, metro Bangalore location, and popular Data Engineer title increase candidate competition.
Strong Databricks/Azure technical focus but broadly transferable across industries.
Mandatory Databricks, Spark, cloud, and CI/CD skills impose strict technical filters.
Own and implement data engineering solutions at large scale using Databricks platform with expertise in Notebooks, Clusters, Jobs, and Delta Lake.
Configure Unity Catalog and RBAC for secure data governance and compliance.
Optimize Apache Spark performance, debug and improve PySpark/SQL code, and implement CI/CD pipelines with Azure DevOps.
Expertise in Databricks platform including Notebooks, Clusters, Jobs, Delta Lake, and Unity Catalog with RBAC configuration.
Experience with Azure Cloud and Azure services including Data Factory, Blob Storage, Azure Databricks, and CI/CD using Azure DevOps.
Programming proficiency in Scala, Python, PySpark, and SQL with knowledge of Apache Spark optimization techniques.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in large-scale data engineering projects involving both Azure and AWS cloud environments.
Strong practical knowledge of secure coding principles and data governance in Databricks.
Proficient in debugging and optimizing complex Spark-based data pipelines with a focus on performance and maintainability.