Data Engineer
Tasks
- Analyze existing systems for automation and integration improvements
- Assess requirement impact and propose enhancements
- Build automated ETL ELT processes
- Collaborate on technical solution designs
- Configure and optimize development tools environments
- Create database views and materialized views
- Create diagrams and process flows
- Design data acquisition pipelines
- Design data integration and analytics environment
- Develop SQL scripts for dimensional modeling
- Develop and optimize data models and data flows
- Implement data quality and integrity checks
- Lead agile project lifecycle activities
- Maintain technical specifications and documentation
- Participate in requirements and design sessions
- Prototype solutions with stakeholders
- Translate business objectives into technical requirements
- Troubleshoot and resolve technical issues
- Validate and verify SQL and ETL components
Perks/Benefits
- 401k match
- Basic life insurance
- Commuter benefits
- Dental insurance
- Flexible spending accounts
- Long-term disability
- Medical insurance
- Paid time off
- Short-term disability
- Vision insurance
- Wellness program
Skills/Tech-stack
AI | Agile | CI/CD | Cloud services | Data Integrity | Data Modeling | Data Quality | Database Views | Dimensional Modeling | ELT | ETL | GitHub | GitHub Actions | Informatica CLAIRE | Informatica Intelligent Cloud | Informatica Intelligent Cloud Services | Informatica PowerCenter | Intelligent Cloud Services | Java | JavaScript | Jira | Materialized views | MuleSoft | Oracle | PII | Phi | Python | REST | SOAP | SQL | SQL Server | Scrum | Snowflake | Web Services
Education
N/A
Roles
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