Experian
Data and technology
SeniorDataEngineer
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“Senior Data Engineer at Experian. Skills: Data Engineering, Python, AWS, SQL. Design scalable data platforms. Design and maintain data pipelines”
What You'll Achieve.
power analytics; AI/ML use cases; business-critical reporting; accelerate delivery across teams
Industry & Context.
troubleshoot existing complex SQL; root cause analysis
production on-call rotation
What They're Looking For.
Must Have
5+ years of experience in Data Engineering development, 5 years of experience in Python scripting, 3 years of experience with AWS ecosystem (Redshift, EMR, S3, MWAA), 5 years of experience in Agile development method, BS degree or higher in computer science or related fields, Proficiency in CI/CD tools (Jenkins, GitLab, etc.)
Nice to Have
interest in AI, automation, and progress
What You'll Do.
Design scalable data platforms
Design and maintain data pipelines
Build and support data warehouse
Implement solutions using Python
Process structured and unstructured data
Understand and troubleshoot SQL
Operationalize data for AI use cases
Apply AI-assisted development tools
Improve developer productivity
Participate in production support
Contribute to data standards
How You'll Work.
Team & Collaboration
Work as part of a team; Partner with Data Science and analytics teams
Communication Scope
Understand complex metrics; translate our requirements to technical requirements
Process & Methodology
Agile development method
Full Job Description
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 We are looking for a Data Engineer with a interest in AI, automation, and progress. You will design scalable data platforms that power analytics, AI/ML use cases, and business-critical reporting. You will go beyond traditional ETL—combining modern data engineering practices with AI‑assisted development, automation, and. * Design, and maintain scalable, production‑grade data pipelines across cloud data platforms (e.g., AWS Redshift, S3, MWAA/Airflow). * Work as part of a team to build and support a data warehouse, implement solutions using Python to process structured and unstructured data. * SQL and data to understand and troubleshoot existing complex SQL. * Partner with Data Science and analytics teams to operationalize data for AI use cases , including feature pipelines, model inputs, and downstream use. * Apply AI‑assisted development tools (e.g., code generation, automation, validation) to improve developer productivity and reduce manual effort. * Participate in production support and incident resolution, with a focus on root cause analysis and prevention * Contribute to data standards, best practices, documentation, and reusable frameworks that accelerate delivery across teams. * Participate in a production on-call rotation. ## Qualifications * 5+ years of experience in Data Engineering development * 5 years of experience in Python scripting * 3 years of experience with AWS ecosystem (Redshift, EMR, S3, MWAA) * 5 years of experience in Agile development method. * Understand complex metrics and translate our requirements to technical requirements * Education: BS degree or higher i
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