Senior Data Engineer

Requirements

• Bachelor's degree in Computer Science or equivalent experience.
• 3+ years of experience in data engineering.
• PySpark, Python, SQL (expert‑level)
• Cloud experience with AWS, including services such as API Gateway, Lambda, EC2, ECS, SQS, SNS, DynamoDB, Redshift, and Aurora.
• Proficiency in CI/CD tools (Github)
• Additional Information
• Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.
• This is a fully remote job opportunity. #LI-Remote

Additional Information

Company 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 Job Description Reporting to Software Engineering Manager, you will focus on: You will build automated frameworks for data ingestion, transformation, orchestration, and deployment. You will integrate AI/ML capabilities into pipelines, including anomaly detection, metadata enrichment, and pattern recognition. Involved in the implementation of AI and LLM‑based tooling to automate data engineering workflows (e.g., code generation, data quality monitoring, schema drift detection) nice to have.

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