Principal Data Engineer
1 Spartan Way, Merrimack NH, United States
USD 147K-179K (estimate) Senior-level Full Time
Tasks
- Acquire data and perform data analysis
- Adjust models for optimal performance
- Advise risk assessment and risk management strategies
- Advise testing tools and methodologies
- Build application components and subsystems
- Build detection features
- Collaborate on regulatory risk analysis
- Create unit testing regression testing scenarios
- Define application-level architecture
- Design and implement transaction monitoring platform
- Develop data engineering solutions and evaluate alternatives
- Develop data pipelines for AML surveillance
- Develop features with DBT Snowflake SQLMesh Python
- Develop model performance metrics
- Estimate technical evaluation requirements
- Orchestrate adoption of new technologies
- Plan full project life cycle across platforms
- Plan schedules and assignments for projects
- Provide technical leadership mentoring and training
- Provide technology solutions for daily issues
- Recommend development policies procedures standards and strategies
- Rewrite legacy machine learning models
- Support machine learning model data preparation
Perks/Benefits
- N/A
Skills/Tech-stack
AML | Actimize | Agile | Alteryx | BSA | CI/CD | Code review | Confluence | DBT | Data Engineering | Data Pipelines | ELT | ETL | Financial crime | Financial crime typologies | Fraud Detection | Git | GitHub | Jenkins | Jira | Machine Learning | Onboarding | Pytest | Python | Regression testing | Runbooks | SQL | SQLMesh | Snowflake | Tableau | Technical documentation | Unit Testing
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
Cities
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