Senior Analytics Engineer I
Tasks
- Build ETL and ELT pipelines
- Conduct root cause analysis
- Conduct technical design reviews
- Create semantic layers and data models
- Deliver remediation plans
- Design scalable data architectures
- Develop KPI frameworks
- Implement RBAC and RLS security
- Implement data governance frameworks
- Lead data quality incident response
- Manage metadata and data privacy
- Mentor engineers
- Optimize data performance
- Participate in sprint planning
- Perform code peer reviews
- Translate business requirements into technical solutions
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Equity compensation
- Food and drinks
- Health insurance
- Life insurance
- Onsite gym
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid vacation
- Subsidized EV charging
- Vision insurance
Skills/Tech-stack
AWS | Agile | Azure | Azure Data | Azure Data Factory | DAX | DBT | Data Architecture | Data Factory | Data Governance | Data Modeling | Data Pipelines | Data Quality | Databricks | ELT | ETL | Grafana | Kubernetes | M Query | Metadata Management | Power BI | Python | RBAC | RLS | Real Time | Real-time Data | Real-time data pipelines | SQL | SSIS | Scrum | Semantic layers | Streaming | TDML | Tableau
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
Regions
Countries
States
Cities
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