[GFA] AWS Senior Data Engineer

Project – the aim you’ll have

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 Python/PySpark skills to join the Data Engineering team and help build our Data Analytics Platform in AWS.

Position – how you’ll contribute

• Develop reusable, metadata-driven data pipelines
• Automate and optimize data platform processes
• Build integrations with data sources and data consumers
• Add data transformation methods to shared ETL libraries
• Write unit tests and perform code reviews to ensure code quality
• Develop solutions for data platform monitoring and alerting (e.g., CloudWatch, third‑party tools)
• Proactively resolve performance and data quality issues in ETL processes
• Collaborate with infrastructure engineers to provision and configure cloud resources (VPC, IAM, S3, etc.)
• Contribute to platform documentation and runbooks
• Propose and implement improvements to data platform architecture