onsite
AI & Data Engineer - Financial Services, Insurance
Data Engineer
Lead AI and data engineering initiatives for financial services, designing scalable AWS cloud solutions, building robust data pipelines, and implementing advanced analytics to drive insurance insights.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines on AWS, ensuring high availability and performance for financial datasets.
- Architect cloud solutions that integrate AI/ML models with data engineering workflows, optimizing for cost and scalability.
- Collaborate with data scientists and product teams to translate business requirements into technical specifications.
- Implement data governance, security, and compliance controls in line with industry regulations.
- Monitor, troubleshoot, and continuously improve data quality and pipeline efficiency.
Requirements
- 5+ years of experience in data engineering within financial or insurance domains.
- Proficiency with AWS services (S3, Redshift, Glue, Lambda, SageMaker).
- Strong background in SQL, Python, and ETL tooling.
- Experience with AI/ML model deployment and monitoring.
- Excellent problem‑solving skills and a collaborative mindset.