Lead Databricks Developer

Summary: We are looking for a Lead Databricks Developer with strong experience in Splunk and “Power BI” 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.

Key Responsibilities:-

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

Required Skills:-

• Strong hands-on experience with Databricks
• Strong Python programming skills
• Strong in communication and proactive.
• Expertise in Splunk and Power BI.
• Experience with Delta Lake and lakehouse concepts- Knowledge of ETL/ELT and data pipeline design
• Experience with AWS, Azure, or GCP- Familiarity with Git, CI/CD, and Agile practices
• Good problem-solving and communication skills

Preferred Skills:-

• Experience with Airflow, Azure Data Factory, or Databricks Workflows
• Knowledge of Kafka or streaming frameworks
• Experience with MLflow or analytics platforms
• Understanding of data governance and security best practices