Role description
JD:
- Act as hands on technical lead across data engineering workstreams
- Design, build, and optimise large scale data pipelines and data lake solutions
- Build and maintain AWS native data platforms
- Implement DevOps and Infrastructure as Code practices using Terraform and CI/CD pipelines
- Ensure configuration as code principles are consistently applied
- Embed automated testing and data quality best practices
- Provide technical direction and mentoring to engineers within the team
Required Skills & Experience
- Proven Lead / Principal level Engineering experience in a large or enterprise organisation
- Extensive experience with AWS data services, including:
Glue
S3
Lake Formation
EventBridge
Lambda
- Strong experience building data pipelines and data lake architectures
- Solid DevOps experience including Terraform, CI/CD pipelines, Git, and Jenkins
- Working knowledge of AWS SageMaker Studio
- Advanced programming skills in Python
- Experience with API integration and configuration as code approaches
- Strong analytical skills with the ability to investigate and reconcile large datasets
- Experience implementing automated testing methodologies
data engineering,data lake,aws,data pipelines,terraform,lake formation,ci/cd pipelines,
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
