Data Engineer
Summary
Expert in SQL, Python, PySpark, Data warehousing, Business Intelligence and Reporting, Data
Engineering, Data Analysis in both on-premise or cloud environment (AWS, GCP). Fluent in
database technologies, both RDBMS (SQL Server, MySQL, PostgreSQL, Oracle) with also state of
the art MPP (Multi Parallel Processing) analytical storage for Big Query and Redshift.
Expectations
remote data engineering
Employment Preferences
Spoken Languages
- English - Fluent
Expected Base Salary
**,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
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