Senior Data Management Professional - Data Engineering - Private Funds
Tasks
- Analyze data for operational and product needs
- Automate data workflows with human in the loop
- Build data pipelines and processes
- Collaborate with Engineering and Product to gather requirements
- Develop and maintain ETLs and prototype applications
- Ensure data quality, consistency, and reliability
- Implement scalable ETL solutions
- Lead data projects end to end
- Own production data pipelines and services
- Standardize pipelining practices and share knowledge
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
Agile | Automation | Data Quality | Data pipeline | Distributed Systems | ETL | Human-in-the-loop | NoSQL | Process Engineering | Python | Scrum | Technical Training | The Loop
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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