Senior Databricks Engineer

1 day ago

Bangalore Karnataka India Innover Digital Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the Role:As part of our Innovation Team, we are seeking a Certified Senior Databricks Engineer / Tech Lead with 7–8 years of hands -on experience in building scalable data platforms. This role will focus on designing, building, and operationalizing data solutions on the Databricks platform to accelerate advanced analytics and AI use cases.Key Responsibilities:Architect, develop, productionize and maintain end to end solutions in DatabricksImplement and optimize ETL/ELT processes for structured and semi -structured dataLeverage Delta Lake for ACID transactions, data versioning, and time -travel featuresDrive adoption of the Lakehouse architecture to unify data warehousing and AI/ML workloadsImplement CI/CD pipelines using Databricks Repos, Asset Bundles, and integration with DevOps toolsConfigure and enforce Unity Catalog for secure, governed access to data assetsDesign and implement data quality and validation frameworks to ensure trusted dataLead performance tuning and optimization efforts for Spark jobs and queriesIntegrate with external systems such as Kafka, Event Hub, and REST APIs for real -time and batch processingCollaborate with data scientists and business stakeholders to build feature -rich datasets and reusable assetsTroubleshoot and debug complex data workflows in development and production environmentsGuide junior engineers and contribute to best practices in data engineering and platform usageEnsure platform security, access controls, and compliance with enterprise data governance standards. Required Skills:Expertise in Apache Spark and Databricks platformExperience with Databricks Lakehouse architectureDelta Lake concepts Proficient in PySpark, SQL, and Delta LakeStrong knowledge of Data Engineering conceptsExperience with data ingestion, ETL/ELT pipelinesFamiliarity with Unity Catalog and data governanceHands -on with Databricks Notebooks and JobsCI/CD automation with Databricks Repos and DevOps, Asset BundlesDatabricks Asset Bundle implementation knowledgeStrong understanding of performance tuning in SparkData quality and validation framework implementationExperience in handling structured, semi -structured dataProficient in debugging and troubleshooting Collaboration with data scientists and analystsGood understanding of security and access controlExperience with Mosaic AI or Databricks ML capabilitiesExposure to streaming pipelines using Structured StreamingFamiliarity with data observability and lineage tools.

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