Role & Responsibilities
Design and develop scalable data pipelines on AWS.
Build ETL workflows using AWS Glue.
Work with S3, Lambda, Redshift, and related AWS services.
Develop data processing solutions using Python and SQL.
Optimize cloud data workflows and performance.
Ensure data quality and security.
Collaborate with business and technical stakeholders.
Preferred Candidate Profile
35 years of Data Engineering experience.
Robust hands-on AWS experience.
Expertise in AWS Glue, Lambda, S3, and Redshift.
Positive Python and SQL skills.
Experience in ETL and cloud-based data solutions.
Robust analytical and troubleshooting abilities
📌 Aws Data Engineer Hyderabad (India)
🏢 Infosys
📍 India
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