Senior Data Analytics Engineer
Tasks
- Apply data governance and quality controls
- Automate finance reporting
- Build and maintain data pipelines
- Build data products for finance reconciliation
- Create dashboards and reports
- Design data architecture and models
- Document requirements and designs
- Implement data extraction, transformation, and loading processes
- Optimize data pipeline performance
- Perform ETL and data integration
- Provide analytical support for audits and revenue reporting
- Streamline data flows
- Troubleshoot data system issues
Perks/Benefits
- Collaboration opportunities
- Healthcare
- Hybrid work
- Internet or cell phone reimbursement
- Learning and development stipend
- Opportunities for professional growth
- Travel to Palo Alto HQ
Skills/Tech-stack
AWS | Amplitude | Apache Spark | Data Architecture | Data Governance | Data Modeling | Data Pipelines | Data Privacy | Data Quality | Data Security | Data integration | Databricks | Dimensional Modeling | ETL | Periscope | PostgreSQL | Power BI | Python | QlikView | Redshift | Relational databases | SQL | Schema Design | Snowflake | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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