Senior Databricks Data Engineer

Build enterprise-scale Lakehouse solutions as a Senior Databricks Developer using Python, PySpark, SQL, and Delta Lake expertise.This senior position focuses on developing scalable data engineering solutions with Databricks. You will create notebooks, workflows, jobs, pipelines, and reusable platform components. The work also includes CI/CD automation, infrastructure-as-code, Unity Catalog governance, and performance optimization across enterprise data environments.Key Responsibilities:
Design scalable data engineering solutions with Databricks, Python, PySpark, and SQLDevelop notebooks, workflows, jobs, and Lakeflow pipelinesBuild reusable frameworks, libraries, templates, and automation componentsOptimize Delta Lake partitioning, clustering, and maintenance operationsTroubleshoot Spark execution, queries, performance, and resource utilizationRequirements:
Strong hands-on Databricks development and engineering experienceAdvanced Python, PySpark, and SQL programming skillsStrong Apache Spark, Delta Lake, and Lakehouse architecture experienceExperience developing Databricks notebooks, jobs, workflows, and pipelinesKnowledge of Spark performance tuning and compute optimizationApply advanced Databricks, Python, PySpark, SQL, and Delta Lake skills to enterprise Lakehouse engineering.
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