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Build and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and medallion architecture. Modernize legacy ETL and warehouse workloads, optimize Spark and Delta performance, implement governance and data quality controls, and troubleshoot production issues. The role requires strong Python, SQL, data modeling, streaming, workflow orchestration, and migration experience, plus collaboration with platform, DevOps, and analytics teams.

Build and operate batch and streaming pipelines on Databricks using PySpark, Delta Lake, and medallion architecture. Migrate legacy ETL and warehouse workloads, optimize Spark and Delta performance, implement data quality and governance with Unity Catalog, and troubleshoot production incidents. Write tested Python and SQL, use AI development tools, support observability and security practices, and collaborate with DevOps, platform, and analytics engineering teams.

Design, build, and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy ETL and warehouse workloads into a governed Lakehouse with medallion architecture, optimized Spark jobs, data quality controls, lineage, and governance. Troubleshoot production incidents, write tested Python and SQL, collaborate with platform and analytics teams, participate in Agile delivery, and mentor junior engineers.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy ETL and warehouse workloads into a governed medallion Lakehouse, optimize Spark jobs and Delta tables, and implement data quality, lineage, and access controls with Unity Catalog. Develop tested Python and SQL, troubleshoot production incidents, and collaborate with DevOps, platform, and analytics teams on observability, security, and compliance. Use AI coding tools to accelerate development, testing, documentation, and prototyping.

Design and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy ETL and warehouse workloads into governed Lakehouse medallion architectures, optimize Spark jobs and Delta tables, implement data quality and governance controls, and resolve production incidents. Collaborate with engineering and analytics teams on observability, security, and compliance while mentoring junior engineers and supporting Agile delivery.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy data warehouse and ETL workloads into a governed medallion Lakehouse architecture. Develop Python and SQL solutions, optimize Spark jobs, implement data quality and governance controls, troubleshoot production issues, and collaborate with platform, DevOps, and analytics teams. Mentor junior engineers and support Agile delivery practices.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy ETL and warehouse workloads into a governed medallion Lakehouse, optimize Spark jobs and Delta tables, and implement data quality, lineage, and access controls with Unity Catalog. Troubleshoot production issues, support analytics and machine learning consumers, use AI-assisted development tools, and collaborate with DevOps and analytics teams while mentoring junior engineers.

Build and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and medallion architecture. Migrate legacy data warehouse and ETL workloads, optimize Spark jobs and Delta tables, and implement data quality, lineage, governance, and access controls with Unity Catalog. Develop tested Python and SQL, troubleshoot production incidents, and collaborate with DevOps, platform, and analytics teams on scalable, secure data platforms.

Build and operate batch and streaming data pipelines on Databricks using PySpark and Delta Lake. Modernize legacy data warehouses into governed Lakehouse architectures, optimize Spark jobs and Delta tables, and implement data quality, lineage, governance, and access controls with Unity Catalog. Troubleshoot production incidents, maintain tested Python and SQL code, and collaborate with platform, DevOps, and analytics teams on secure, observable data platforms.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy ETL and warehouse workloads into a governed medallion Lakehouse architecture, optimize Spark and Delta performance, implement data quality and governance with Unity Catalog, and troubleshoot production incidents. The role involves writing tested Python and SQL, using AI development tools, and collaborating with DevOps, platform, and analytics teams on scalable, secure data platforms.