Related skills
sql python dbt data modeling airflow📋 Description
- Build and maintain data sets and models for compliance across monitoring and screening.
- Own data quality with validation, lineage, and auditable outputs.
- Collaborate with engineering and Compliance to close data gaps and standardize instrumentation.
- Improve detection signal quality by reducing noise while protecting sensitivity.
- Implement measurement frameworks for control effectiveness and generate repeatable reports.
🎯 Requirements
- 3-5 years in analytics engineering, data engineering, or data-heavy roles.
- Advanced SQL with complex transforms, tuning, and data quality checks.
- ETL/ELT pipelines and data models with dbt, Airflow, or equivalents.
- Ability to drive cross-functional projects in regulated environments with clear communication.
- Python for automation, pipelines and data analysis.
- Uses generative AI with human oversight to boost workflow efficiency.
🎁 Benefits
- Equity and bonus eligibility
- Medical, dental, vision, and 401(k) benefits
- Remote-first culture with quarterly in-person surges
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