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About
Passion for data and a deep desire to learn.
Master’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline.
Intermediate Python. Experience in data processing is a plus (Numpy, Pandas, etc).
Experience with relational databases (SQL Server, Oracle, MySQL, etc.).
Strong written and verbal communication skills.
Ability to work both independently and as part of a team.
Responsibilities
Collaborate with the analytics team to find reliable data solutions to meet the business needs.
Design and implement scalable ETL or ELT processes to support the business demand for data.
Perform data extraction, manipulation, and production from database tables.
Build utilities, user-defined functions, and frameworks to better enable data flow patterns.
Build and incorporate automated unit tests, participate in integration testing efforts.
Work with teams to resolve operational & performance issues.
Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to.
Candidates must be open to relocation within the United States (e.g., CA, TX, NY).
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Languages
- English
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