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Databricks Data Specialist - R01569707

hybridBangalore, Karnataka, India, INScore 68/1002d ago
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📊 Data Engineering: salaries and demand on the market
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databricksdelta lakepysparksparksql
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Description
Data Specialist Primary Skills - Databricks Engineer Role Overview We are seeking a highly skilled Databricks Engineer to design, develop, and optimize scalable data engineering and analytics solutions on the Databricks Lakehouse Platform . The ideal candidate will possess strong expertise in Databricks, PySpark, and SQL , with hands-on experience building batch and real-time data pipelines, implementing Lakehouse architectures, and ensuring data governance and performance optimization. Key Responsibilities Design, develop, and maintain end-to-end data pipelines using Databricks and PySpark . - Build and implement Lakehouse architectures utilizing Bronze, Silver, and Gold data layers. - Develop and manage Delta Lake solutions with ACID transactions, schema enforcement, and data reliability features. - Create, monitor, and optimize Delta Live Tables (DLT) pipelines. - Implement scalable and efficient data ingestion processes using Auto Loader . - Develop and manage real-time data processing solutions using Structured Streaming . - Orchestrate, schedule, and monitor data workflows using Databricks Workflows . - Design and implement Lakehouse data models to support reporting, analytics, and business intelligence requirements. - Establish and enforce data governance, security, and access controls using Unity Catalog . - Optimize Spark jobs, SQL queries, and overall platform performance to ensure efficiency and scalability. - Collaborate with cross-functional teams, including data
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