Databricks Engineer

Summary: We are looking for a Databricks Developer with strong experience in Python and Apache Spark to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate will have hands-on expertise in Databricks, PySpark, SQL, and modern data engineering practices., Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark- Build scalable batch and real-time data processing solutions using Apache Spark- Develop data transformation workflows using Python, PySpark, and Spark SQL- Implement Delta Lake solutions and optimize data processing performance- Create and manage Databricks notebooks, jobs, and workflows- Ensure data quality, validation, logging, and exception handling- Optimize Spark performance using partitioning, caching, and tuning techniques- Collaborate with cross-functional teams to gather requirements and deliver solutions- Support CI/CD, deployment automation, and production releases- Troubleshoot and resolve issues in data pipelines and platform processes

Strong hands-on experience with Databricks Strong Python programming skills Expertise in Apache Spark, PySpark, and Spark SQL- Strong SQL and data transformation skills Experience with Delta Lake and lakehouse concepts- Knowledge of ETL/ELT and data pipeline design Experience with AWS, Azure, or Google Cloud Platform- Familiarity with Git, CI/CD, and Agile practices Good problem-solving and communication skills