Job Description . We are looking for an experienced Senior Data Engineer - Databricks to design, develop, and maintain scalable data pipelines on the Databricks platform. . The role requires strong expertise in PySpark, Databricks, and modern data engineering practices, along with experience modernizing legacy data pipelines and building high-performance data solutions in cloud environments. Key Responsibilities . Design, build, and maintain scalable data pipelines using Databricks and PySpark. . Develop end-to-end data workflows including data ingestion, transformation, and consumption. . Optimize Spark jobs, cluster configurations, and pipeline performance. . Manage and orchestrate workflows using Databricks Jobs and notebooks. . Refactor legacy ETL pipelines into modern PySpark-based ELT frameworks. . Implement data quality checks, monitoring, and error handling mechanisms. . Design and maintain Delta Lake tables with proper optimization strategies. . Collaborate with data architect...