EXL is a business consulting and services company that helps organizations use data, analytics, and technology to improve operations and make better decisions. Its work includes operations management, decision analytics, and digital transformation, with experience supporting clients in healthcare, insurance, finance, and logistics. EXL combines data science with practical business expertise to develop solutions tailored to each organization’s goals, operating model, and industry context.
Senior AWS Data Engineer, Solutions
Lead AWS data engineering for Fortune 500 client programs, building enterprise data lakes, pipelines, and APIs. Set data strategy, guide innovation, and plan long-term AWS data initiatives.
Description
- Design and deliver solutions for a Fortune 500 client program
- Build an enterprise data lake on AWS
- Develop data pipelines with AWS integration, engineering, and analytics services
- Create API services with FastAPI or Flask
- Lead data engineering strategy across projects
- Advance engineering practices and optimization
- Represent the team in executive meetings
- Develop long-term data plans
Requirements
- Graduate in computer science, data science, or a related field
- 4–6 years of experience in data engineering or a related field
- Proficiency in Python and PySpark development
- Experience with AWS data integration, engineering, and analytics services
- Experience building API services with FastAPI or Flask
Benefits
- No benefits or additional compensation are specified