- Design, develop, and maintain scalable data pipelines on AWS.
- Build and support ETL workflows using AWS Glue.
- Develop data ingestion and transformation processes using Python and SQL.
- Work with AWS services including S3, Lambda, Redshift, and EC2.
- Optimize data processing workflows and performance.
- Ensure data quality, security, and governance standards.
- Collaborate with business and technical stakeholders.
- Troubleshoot and resolve cloud data platform issues.
Preferred Candidate Profile
- 2-5 years of experience in Data Engineering.
- Solid hands-on experience with AWS services.
- Experience with AWS Glue, Lambda, S3, and Redshift.
- Strong Python programming skills.
- Good SQL and database knowledge.
- Experience with ETL and cloud-based data solutions.
- Strong analytical and problem-solving skills.
📌 Aws Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad
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