Jobs → Data & Analytics → AWS Data Engineer

About the Role We are looking for an AWS Data Engineer to join our team for a long-term contract opportunity. This role involves working on enterprise AWS cloud migration projects and requires extensive experience in data engineering and ETL development. Key Responsibilities • Design and implement ETL processes using AWS Glue, PySpark, and Python • Migrate legacy on-premises ETL jobs from DataStage/Informatica and DB2 to AWS • Manage data warehousing solutions using AWS Redshift, Aurora PostgreSQL, S3, Lambda, and Step Functions • Develop and maintain Apache Airflow DAGs for ETL orchestration • Ensure data validation, data quality, and provide production support • Work with REST/SOAP APIs and implement CI/CD practices Requirements • 8+ years of experience in ETL Development, Data Engineering, and Data Warehousing • Strong hands-on experience with AWS Glue, PySpark, and Python • Experience migrating legacy on-premises ETL jobs using DataStage/Informatica and DB2 to AWS • Strong knowledge of AWS Redshift, Aurora PostgreSQL, S3, Lambda, and Step Functions • Experience with Apache Airflow, DAGs, and ETL orchestration • Strong SQL, Unix/Linux, Shell/Korn Shell, and Perl scripting skills • Experience with REST/SOAP APIs, Git/Bitbucket, Jenkins, and CI/CD Benefits • 100% Remote Opportunity • Long-Term Contract • Opportunity to work on enterprise AWS cloud migration projects