Qualifications:
● 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 dataextraction, manipulation, and production from database tables.
● Buildutilities, 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 toresolve 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.
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