Job highlights

- Experience in designing and maintaining large-scale AWS data systems with Hadoop, Spark, and NoSQL expertise
- Design scalable data pipelines using AWS S3, Lambda, EMR; develop data warehouses and lakes; ensure data quality; optimize performance; collaborate cross-functionally

The ideal candidate will have experience in designing, building, and maintaining large-scale data systems on AWS.

Roles and Responsibility

- Design and implement scalable data pipelines using AWS services such as S3, Lambda, and EMR.
- Develop and maintain large-scale data warehouses and data lakes on AWS.
- Collaborate with cross-functional teams to identify and prioritize project requirements.
- Ensure data quality and integrity by implementing data validation and testing procedures.




- Optimize data system performance and troubleshoot issues.
- Stay up-to-date with the latest trends and technologies in big data engineering.

Job Requirements

- Robust understanding of cloud-based computing platforms, particularly AWS.
- Experience with big data processing technologies such as Hadoop, Spark, and NoSQL databases.
- Knowledge of data modeling and database design principles.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Strong communication and interpersonal skills.

📌 AWS Data Engineer (Hyderabad)
🏢 CGI
📍 Hyderabad