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