Our customer provides innovative solutions and insights that enable our clients to manage risk and hire the best talent. Their advanced global technology platform supports fully scalable, configurable screening programs that meet the unique needs of over 33,000 clients worldwide. Headquartered in Atlanta, GA, they have an internationally distributed workforce spanning 19 countries with about 5,500 employees. Our partner perform over 93 million screens annually in over 200 countries and territories.

We are seeking a Senior Data Engineer with strong database expertise (SQL, data modeling, query optimization), extensive AWS data services experience, and proven ETL development capabilities to join our Data Engineering Team and help us build a robust, scalable Data Analytics Platform leveraging AWS cloud infrastructure.

Position – how you’ll contribute

Develop reusable, metadata-driven data pipelines with strong focus on database design and SQL optimization
Work extensively with AWS-based datasets and data infrastructure including Redshift, RDS, S3, Glue, Athena, and DMS
Support comprehensive ETL development and optimization using advanced SQL techniques and query performance tuning
Automate and optimize data platform processes leveraging AWS data services ecosystem
Build robust integrations with data sources and consumers using AWS native solutions
Proactively resolve performance and data quality issues through SQL optimization and database tuning
Leverage DBT for data transformation modeling and Jenkins/GitHub Actions for CI/CD automation
Contribute to platform documentation and runbooks with focus on database best practices
Propose and implement improvements to data platform architecture using AWS data services

[GFA] AWS Senior Data Engineer