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:
Robust 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).
Valuable 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