Aws Engineer

Role & Responsibilities :

• Design, develop, and maintain scalable data pipelines on AWS.
• Build and manage ETL workflows using AWS Glue and related services.
• Develop data processing solutions for large-scale structured and unstructured datasets.
• Work with AWS services including S3, Lambda, Redshift, and EC2.
• Perform data integration, transformation, and validation activities.
• Optimize data pipelines for performance, reliability, and scalability.
• Collaborate with business and technical teams to deliver data-driven solutions.
• Ensure adherence to data security, governance, and cloud best practices.
• Troubleshoot and resolve issues related to cloud-based data workflows.
• Support deployment and maintenance of data engineering solutions in AWS environments.

Preferred Candidate Profile :

• 2-5 years of experience in Data Engineering.
• Strong hands-on experience with AWS Cloud services.
• Experience with AWS Glue, Lambda, S3, and Redshift.
• Good programming skills in Python.
• Strong SQL and database concepts.
• Experience in ETL development and data integration projects.
• Understanding of Cloud Architecture and Data Warehousing concepts.
• Excellent analytical and problem-solving skills.
• Good communication and collaboration abilities.