Aws Data Engineer

Role & Responsibilities

• 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.
• Strong 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.