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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 with Unity Catalog, and troubleshoot production issues. The role also requires writing tested Python and SQL, collaborating with DevOps and analytics teams, and using AI coding tools to accelerate development.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy warehouses into governed medallion architecture, optimize Spark workloads, implement data quality and governance controls, and troubleshoot production incidents. Collaborate with DevOps, platform, and analytics teams while using AI coding tools to improve development efficiency.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy data warehouse and ETL workloads into a governed Lakehouse using medallion architecture. Develop tested Python and SQL, optimize Spark and Delta performance, implement data quality and governance with Unity Catalog, and troubleshoot production incidents. Collaborate with DevOps, platform, and analytics teams on observability, security, and compliance.

Build and operate batch and streaming pipelines on Databricks using PySpark, Delta Lake, and medallion architecture. Modernize legacy data warehouse and ETL workloads, optimize Spark jobs and Delta tables, and implement data quality, lineage, governance, and security controls. Troubleshoot production incidents, write tested Python and SQL, and collaborate with DevOps, platform, and analytics teams. The role also uses AI coding tools and supports scalable production data platforms.

Build and operate batch and streaming pipelines on Databricks using PySpark, Delta Lake, and medallion architecture. Migrate legacy ETL and warehouse 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 observability, security, and compliance. Use AI coding tools to accelerate development.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy data warehouses into governed Lakehouse architectures, optimize Spark jobs and Delta tables, implement data quality and governance controls, and troubleshoot production incidents. The role requires strong Python, SQL, data modeling, workflow orchestration, streaming ingestion, migration, and collaboration skills, with optional Terraform, Azure DevOps, PostgreSQL, and monitoring experience.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy warehouses into governed Lakehouse architectures, optimize Spark jobs and Delta tables, implement data quality and governance controls, and troubleshoot production incidents. Collaborate with DevOps, platform, and analytics teams on security, observability, and compliance while writing tested Python and SQL. Use AI development tools to accelerate coding, testing, documentation, and prototyping.

Build and operate batch and streaming pipelines on Databricks using PySpark, Delta Lake, and medallion architecture. Migrate legacy ETL and warehouse workloads, optimize Spark jobs and Delta tables, implement data quality and governance with Unity Catalog, and troubleshoot production incidents. The role requires advanced Python and SQL, streaming and workflow orchestration experience, secure coding practices, and collaboration with DevOps, platform, and analytics teams. AI coding tools such as Claude and GitHub Copilot are used to accelerate development.

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, optimize Spark jobs and Delta tables, and implement data quality, lineage, and access controls with Unity Catalog. Troubleshoot production incidents, maintain Python and SQL code, and collaborate with DevOps and analytics teams on secure, observable platforms. Mentor junior engineers and contribute to Agile delivery practices.

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. Optimize Spark jobs and Delta tables, implement data quality, lineage, and governance controls with Unity Catalog, and troubleshoot production incidents. Collaborate with DevOps, platform, and analytics teams while writing tested Python and SQL. Use AI coding tools such as Claude and GitHub Copilot to accelerate development.