Key Responsibilities :

- Develop and maintain scalable data pipelines and ETL processes.
- Use Python and PySpark to perform data processing and transformation.
- Write productive 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.

📌 Data Engineer (India)
🏢 Vy systems
📍 India