Senior Data Engineer-Teradata VaaS + AWS | SME Fraud Data Warehouse
Yadimen Consulting Limited · Pune, Maharashtra, India
About the role
Design, build, and optimize a large-scale analytical platform using Teradata VaaS and an AWS-based data lake. Collaborate with cross-functional teams to deliver a robust fraud analytics platform that drives business outcomes.
What they look for
Requirements
Requires strong hands-on experience with Teradata VaaS and AWS data lake architectures including S3, Glue, Redshift, and Athena. Candidates must possess solid SQL skills and a proven track record of building large-scale analytical platforms.
Full description
Senior Data Engineer
Teradata VaaS + AWS | SME Fraud Data Warehouse
Location: Remote (UK)
Employment Type: Contract / Permanent
Seniority: Senior
About the Role
We are seeking an experienced Senior Data Engineer / Data Platform Engineer to join a high-impact SME Fraud Data Warehouse (DWH) programme. This is a pivotal role where you will design, build, migrate, and optimise a large-scale analytical platform on Teradata Vantage as a Service (VaaS) with an AWS-based data lake. You will work alongside a talented cross-functional team to deliver a robust fraud analytics platform that drives real business outcomes.
Requirements
Key Responsibilities
- Design and architect analytical data solutions on
Teradata VaaS and AWS
- Build, migrate, and optimise large-scale data pipelines
and data warehouse structures
- Collaborate with data architects, analysts, and fraud
SMEs to translate business requirements into technical solutions
- Ensure data quality, performance, and reliability
across the platform
- Contribute to best practices in data modelling,
pipeline development, and platform governance
Required Skills & Experience
- Strong hands-on experience with Teradata Vantage as a
Service (VaaS)
- Proven expertise in AWS-based data lake architectures —
including S3, Glue, Redshift, and Athena
- Experience designing and building large-scale
analytical platforms
- Solid understanding of data migration strategies and
best practices
- Strong SQL and data modelling skills
Nice to Have
- Exposure to fraud domain data and SME fraud analytics
- Experience with data governance and data quality
frameworks
- Familiarity with DevOps practices (CI/CD, IaC) on AWS
