Mid Data Analyst
Tasks
- Clean transform validate and analyze datasets
- Collaborate with data scientists model developers and stakeholders
- Design, develop, and optimize ETL pipelines
- Extract and manage data from large scale databases
- Identify and fix data quality issues
- Source and aggregate data for machine learning models
Perks/Benefits
- B2B contract work model
- Collaborative team environment
- Hybrid work arrangement
- Professional development opportunities
Skills/Tech-stack
Data Transformation | Data Wrangling | ETL | NumPy | Pandas | PySpark | Python | SQL | SciPy
Education
N/A
Roles
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