Analytics Data Engineer
Tasks
- Analyze data sources
- Analyze unstructured data with advanced analytics
- Apply data modeling best practices
- Build and maintain end-to-end data pipelines
- Design develop implement test data pipelines
- Design document implement data development lifecycle
- Ensure operational and business needs
- Establish data platform strategy
- Gather requirements
- Identify automation opportunities
- Identify fraud, waste, and abuse
- Integrate CI/CD processes
- Maintain lakehouse for reporting and monitoring
- Map lineage and business rules
- Provide data technology guidance
- Refresh dashboarding and analysis products
Perks/Benefits
- 401k matching
- All-hands meetings
- Cell phone reimbursement
- Dental insurance
- FSA account
- Fitness reimbursement
- Health insurance
- Long-term disability
- One on one performance meetings
- Paid Holidays
- Paid parental leave
- Paid time off
- Professional growth check ins
- Remote work option
- Short-term disability
- Slack collaboration
- Team building events
- Vision insurance
Skills/Tech-stack
AWS | Artificial Intelligence | Automation Scripting | Azure | CI/CD | Cloud Computing | Cloud platform | Data Lineage | Data Modeling | Data Pipelines | Databricks | ETL | Google Cloud | Google Cloud Platform | LLM | Lakehouse | PySpark | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analytics | Analytics Data Engineer | Data Engineer | Engineer
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