Key Responsibilities:

- Design, develop, and maintain ETL/ELT pipelines for data ingestion and transformation.
- Develop data processing solutions using Python.
- Build and manage ETL workflows using AWS Glue.
- Utilize Amazon S3 for data storage, staging, and processing.
- Optimize ETL jobs for performance, scalability, and reliability.
- Perform data validation, quality checks, and troubleshooting for production issues.
- Collaborate with data analysts, architects, and business stakeholders to understand data requirements.
- Ensure adherence to coding standards, best practices, and security guidelines.

Required Skills:

- Strong experience in ETL Development.
- Proficiency in Python scripting and data processing.
- Hands-on experience with AWS Glue (Mandatory).
- Hands-on experience with Amazon S3 (Mandatory).
- Good understanding of data warehousing and data integration concepts.
- Experience with SQL and relational databases.
- Robust problem-solving and debugging skills.

📌 Data Engineer (Hyderabad)
🏢 CGI
📍 Hyderabad