Related skills
sql python dbt spark presto📋 Description
- Design and implement a formal analytics data layer using AWS Glue, Presto, and LookML
- Collaborate with Data Science, Analytics, Product, and Engineering to define metrics and data lineage
- Develop automated data reconciliation and quality checks for reports and dashboards
- Lead investigations into data anomalies; perform root cause analysis; communicate results
- Mentor data science and analytics teammates; promote best practices in data modeling, testing, and code review
🎯 Requirements
- 6+ years in analytics engineering, data engineering, BI, or related field
- Advanced SQL; data modeling and pipelines with AWS Glue or similar
- Partner with cross-functional stakeholders to codify metrics
- Own ambiguous projects end-to-end with minimal guidance; strong technical communication
- Desired: Python; Hive/Presto/Spark; Looker/Tableau
- Desired: dbt tests, CI/CD, data observability
🎁 Benefits
- Equity plan and corporate bonus eligibility
- Health care insurance
- 401(k) retirement plan
- Paid sick time
- Paid personal time off
- Paid parental leave
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!