Senior Data Engineer
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Job Description
Senior Data Engineer at COVU building an AI-first insurance platform. Focused on core data infrastructure including Policy Journal and data pipelines.
Responsibilities:
- Develop the Policy Journal: Be a primary builder of our master data solution that unifies policy, commission, and accounting data.
- Ensure Data Quality and Reliability: Implement robust data quality checks and monitoring.
- Build the Foundational Analytics Platform: Implement and enhance our new analytics framework.
- Modernize Core ETL Processes: Refactor existing Java & SQL (PostgreSQL) based ETL system.
- Implement Data Quality Frameworks: Build and execute automated data validation frameworks.
- Collaborate and Contribute to Design: Partner with product managers and stakeholders to understand requirements.
Requirements:
- 5+ years of experience in data engineering
- Expert-level proficiency in Python and SQL
- Strong experience with modern data stack technologies, including a cloud data warehouse (Snowflake or Redshift)
- A workflow orchestrator (Airflow is highly preferred)
- Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, RDS)
- Experience in the insurance technology (insurtech) industry
- Familiarity with insurance data concepts (e.g., policies, commissions, claims)
- Demonstrated ability to contribute to the design and implementation of robust data models (e.g., dimensional modeling) for analytics and reporting
- Ability to read and understand existing Java/Hibernate logic is a strong plus.
- Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
Benefits:
- Possible Equity
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