Databricks Data Engineer

Role & Responsibilities

• Design, develop, and maintain data pipelines using Databricks.
• Build ETL/ELT solutions for processing large datasets.
• Develop scalable data transformation workflows using PySpark and Spark SQL.
• Work with Delta Lake and cloud-based data platforms.
• Integrate data from multiple source systems.
• Optimize data processing performance and reliability.
• Collaborate with cross-functional teams to deliver business requirements.

Preferred Candidate Profile

• 2-5 years of experience in Data Engineering.
• Hands-on experience with Databricks and PySpark.
• Strong SQL and Spark SQL knowledge.
• Experience in ETL development and data integration.
• Exposure to Azure Data Factory and cloud environments.
• Strong analytical and problem-solving skills.