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AWS ETL Consultant

Job in Fort Mill, York County, South Carolina, 29715, USA
Listing for: Diverse Lynx
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Engineering, AWS, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below

AWS ETL Consultant

Work Location:

Fort Mill, SC - Hybrid Contract duration: 6+ months Does this position require Visa independent candidates only? YES Interview Process (Is face to face required?):
No, Virtual Ok Must Have Skills AWS certifications (e.g., Solutions Architect, Dev Ops Engineer) are preferred and add value to the role Strong communication and leadership capabilities, with the ability to collaborate effectively with cross-functional teams and influence both technical and business stakeholders. Hands-on experience with CICD pipelines, infrastructure-as-code (e.g., Terraform), and modern Dev Ops practices to enable automated deployments and environment consistency.

Nice to have skills Snowflake Aurora PostgreSQL MS SQL Server

Detailed

Job Description Extensive hands-on experience in designing, developing, and automating end-to-end data pipelines, including building ETL/ELT workflows using AWS Glue with PySpark. AWS ETL Technical Lead to design and deliver scalable data integration and data warehouse solutions. This role will lead the development of ETL pipelines using AWS Glue and orchestration tools like Airflow, ensuring high data quality, performance, and reliability Minimum years of experience: 10 years Certifications Needed :

No Top 3 responsibilities you would expect the Subcon to shoulder and execute Deep knowledge and practical experience with AWS services such as Glue, Lambda, Event Bridge, S3, RDS Aurora Postgres, and MSKKinesis, with the ability to design scalable, event-driven architectures AWS ETL Technical Lead to design and deliver scalable data integration and data warehouse solutions. This role will lead the development of ETL pipelines using AWS Glue and orchestration tools like Airflow, ensuring high data quality, performance, and reliability.

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