Aws Engineer

Job description

**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.