Aws Data Engineer

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

• 3-5 years of Data Engineering experience.
• Strong hands-on AWS experience.
• Expertise in AWS Glue, Lambda, S3, and Redshift.
• Good Python and SQL skills.
• Experience in ETL and cloud-based data solutions.
• Strong analytical and troubleshooting abilities.