remote
Exposure Data Manager - accelerant
Software Engineer
Manage and optimize exposure data pipelines, ensuring high-quality data integration, storage, and analysis using SQL, Python, and cloud services.
About the role
Key Responsibilities
- Design, develop, and maintain ETL processes for ingesting and transforming exposure data from multiple sources.
- Build and optimize data models and schemas in relational databases and data warehouses.
- Implement data quality checks, monitoring, and governance policies to ensure data integrity.
- Collaborate with analytics, risk, and engineering teams to deliver reliable data for reporting and modeling.
- Leverage cloud platforms (e.g., AWS) for scalable storage, processing, and automation of data workflows.
Requirements
- Strong proficiency in SQL and Python for data manipulation and scripting.
- Experience designing and maintaining data pipelines and ETL frameworks.
- Solid understanding of data modeling, warehousing concepts, and data governance best practices.
- Hands‑on experience with cloud services such as AWS (S3, Redshift, Lambda, etc.).
- Ability to troubleshoot complex data issues and work cross‑functionally in a fast‑paced environment.