Role & responsibilities -

Data Engineer Python Developer + AWS + ETL + PySpark

Job Title: Data Engineer Python, AWS, ETL & PySpark
Experience: 5-10 Years
Location: Pune / Hyderabad / Bengaluru / Noida
Employment Type: Full time

Job Summary-

We are looking for a skilled Data Engineer with strong experience in Python, AWS, ETL, and PySpark to build and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in data ingestion, transformation, optimization, and large-scale data processing on AWS platforms.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build data processing solutions using PySpark and Python.
- Develop and support AWS-based data platforms using AWS Glue, S3, Lambda, Redshift,



EMR, and Athena.
- Implement data integration, cleansing, validation, and transformation processes.
- Optimize ETL jobs for performance, scalability, and reliability.
- Work with structured and semi-structured datasets from multiple sources.
- Develop reusable frameworks, libraries, and data quality checks.
- Monitor and troubleshoot production data pipelines.
- Collaborate with architects, analysts, and business stakeholders to understand data requirements.
- Participate in code reviews, deployments, and production support activities.

📌 Software Engineer-II (Noida)
🏢 Coforge
📍 Noida