Senior Data Engineer

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. 

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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Role Overview

We are seeking a highly skilled Cloud Data Development & Migration Engineer to support the transformation of our core data processing platform from a legacy system to a modern AWS cloud-native architecture.

This role is critical in ensuring new features are developed on AWS cloud and seamless migration of existing banking clients, maintaining data integrity, and validating end-to-end processing accuracy across systems. The ideal candidate has strong experience in data-intensive systems, migration programs, and financial/banking workflows.

Key Responsibilities

• Work with engineering teams to understand cloud-native architecture and data pipelines
• Support testing of AWS services (e.g., S3, Lambda, Glue, RDS, EMR depending on stack)
• Ensure migration aligns with scalability, performance, and reliability goals
• Lead and support migration of existing clients from legacy systems to the AWS platform
• Develop and execute new features/functionality on the AWS platform
• Coordinate with client stakeholders to ensure smooth onboarding and minimal disruption
• Design and execute robust data validation frameworks to ensure accuracy, completeness, and consistency
• Perform reconciliation between legacy and target systems
• Validate batch processing, file generation, and downstream outputs for banks
• Build automated validation scripts and tools where applicable
• Collaborate with engineering, QA, product, and client teams

• Strong experience with relational database 
• Solid programming experience in Python/Scala (or similar technologies)
• Hands-on experience in data migration, ETL, and data transformation
• Experience with SQL and large-scale data validation
• Working knowledge of AWS ecosystem (S3, RDS, Lambda, Glue, etc.)
• Experience in cloud migration programs (legacy → cloud-native)
• Understanding of distributed systems and data pipelines
• Expertise in data validation techniques and reconciliation processes
• Experience in functional, system, and integration testing for data-heavy applications
• Familiarity with automation tools for testing and validation
• Experience in banking / financial services / payments systems preferred

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. 

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

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