ETL Data Engineer
Job Summary
To support data-driven initiatives, the full-time ETL Data Engineer will design and implement scalable ETL processes, collaborate with analytics teams, and perform data extraction and manipulation in a remote environment.
Key responsibilities
- Collaborate with the analytics team to identify and implement reliable data solutions
- Design and implement scalable ETL or ELT processes to meet business data demands
- Build utilities and frameworks to enhance data flow patterns and conduct integration testing
Required qualifications
- Master's Degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related discipline
- Intermediate proficiency in Python, with experience in data processing tools like Numpy and Pandas
- Experience with relational databases such as SQL Server, Oracle, or MySQL
- Ability to work both independently and collaboratively within a team
- Strong understanding of engineering best practices for quality solution implementation
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