Databricks Engineer

Interview Date: 13th December- Walk-in Drive

Experience: 5+ Years only

Please get your Resume-Hard Copy

About the Role

We are seeking a skilled Databricks Engineer with strong expertise in PySpark , SQL , and cloud-based big data platforms . The ideal candidate will design, develop, and optimize large-scale data pipelines, ensuring high performance and reliability in a distributed computing environment.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines using Databricks (PySpark, SQL, Delta Lake).
• Optimize and tune PySpark code for performance, scalability, and cost efficiency.
• Implement data quality checks , data validation frameworks, and robust testing strategies.
• Work with structured and unstructured data from various sources including batch and streaming.
• Develop and maintain Delta Lake tables, schemas, partitions, and governance processes.
• Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
• Integrate Databricks with cloud services such as Azure Data Lake , AWS S3 , Azure Data Factory , Glue , etc.
• Automate workflows using Databricks Jobs , Airflow , or cloud-native orchestration tools.
• Monitor, debug, and resolve issues in production data pipelines.
• Ensure adherence to data security, governance, and compliance policies.