Senior Data Engineer
Tasks
- Build data assets for analytics and reporting
- Centralize fragmented reporting workflows
- Define and align KPIs metrics definitions
- Define engineering best practices for data delivery
- Design scalable data pipelines
- Develop ETL and ELT workflows
- Enable analytics dashboards with curated datasets
- Establish data governance and lineage
- Identify and resolve data quality issues
- Implement data quality checks and observability
- Improve documentation discoverability and trust
- Lead data integration and systems migration
- Maintain AWS data lake architecture
- Optimize Power BI reporting infrastructure
- Set up monitoring alerting validation and recovery
- Standardize ingestion transformation modeling and serving
- Translate business needs into data models
Perks/Benefits
- Commuter benefits
- Employee assistance program
- Flexible paid time off
- Full health benefits
- Generous parental leave
- Paid national holidays
- Retirement Savings 401k Match
- Sick Leave rollover
- Student loan repayment assistance
- Wellness platform access
Skills/Tech-stack
AWS | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Warehousing | ELT | ETL | KPIs | Lakehouse | Power BI | SQL
Education
N/A
Roles
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