Jobs → Data & Analytics → Databricks Developer

About the Role We are looking for an experienced Databricks Developer with strong hands-on expertise in PySpark, SQL, and Delta Lake to join our team. Key Responsibilities • Develop and maintain scalable ETL/ELT data pipelines using PySpark and SQL • Design, create, and optimize Delta Lake tables for high-performance data processing • Build and manage Databricks Workflows for pipeline orchestration and automation • Write and execute unit tests to ensure code quality, reliability, and maintainability • Troubleshoot data quality issues and ensure data accuracy and integrity • Prepare clear technical documentation for solutions and pipeline configurations • Participate in peer code reviews and follow engineering best practices Requirements • 8+ years of experience in Data Engineering, including 3+ years of hands-on Databricks experience • Strong proficiency in PySpark and SQL • Working knowledge of Delta Lake and at least one major cloud platform (Azure, AWS, or GCP) • Familiarity with Git-based source control and CI/CD practices • Ability to independently deliver technical solutions from development through deployment Preferred Qualifications • Databricks Certified Data Engineer Associate certification • Experience with established data platform frameworks and engineering best practices • Strong troubleshooting and problem-solving skills