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Job Description: Data Engineer (Python, AWS, ETL, PySpark)

Position: Data Engineer
Experience: 5-8 Years
Location: Hyderabad
Employment Type: Full-Time

Job Summary

We are seeking a skilled Data Engineer with robust expertise in Python, AWS, ETL, and PySpark to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in processing large datasets, building ETL workflows, and working with AWS data services.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build and optimize data processing frameworks using PySpark and Python.
- Develop and support data solutions on AWS Cloud.
- Extract, transform, and load data from multiple sources into data warehouses/data lakes.
- Perform data cleansing, transformation, and validation activities.
- Optimize Spark jobs and ETL workflows for performance and scalability.
- Collaborate with business stakeholders, analysts, and development teams to understand data requirements.
- Implement data quality, monitoring, and governance standards.

📌 Data Engineer (Hyderabad)
🏢 Coforge
📍 Hyderabad