Senior Data Engineer-Teradata VaaS + AWS | SME Fraud Data Warehouse (Pune)

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 Solid 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 .