Key Responsibilities :

- Develop and maintain scalable data pipelines and ETL processes.

- Use Python and PySpark to perform data processing and transformation.

- Write efficient and optimized SQL queries for data extraction and analysis.

- Design and implement data models to support business and analytical requirements.

- Build and maintain CI/CD pipelines for reliable data engineering deployments.

- Ensure data quality, consistency, and reliability across data workflows.

- Collaborate with cross-functional teams to understand requirements and deliver robust data solutions.

- Troubleshoot and optimize data pipelines and processing workflows.

Eligibility Criteria :

- Minimum 5 years of relevant Data Engineering experience is mandatory.

- Candidates must have 5 - 9 years of total relevant experience.

- Candidates outside the specified experience range will not be considered.

- Strong hands-on experience in Python, PySpark, and SQL is required.

- Immediate joiners only.