Related skills
etl sql python pandas olapπ Description
- Build Data Warehousing systems, reporting and analytics
- Understand business needs that can be solved by using data
- Translate business needs into technical requirements for data engineering
- Develop and maintain data models and data sets
- Develop and maintain data integrations for customers.
π― Requirements
- 4 years of experience as an Analytics or Data Engineer
- Fluent in written and spoken English; resume in English
- Backend data engineering using SQL and/or Python
- Python for data manipulation (Pandas)
- Experience with data warehouses and tooling
- Hands-on relational DBs and advanced SQL queries
π Benefits
- Competitive base salaries
- Equity package; become a shareholder
- PTO and sick days with no limit
- Equal opportunity employer; diverse workforce
- Background checks required for offers
- Respectful, non-discriminatory workplace
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