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Data Engineer
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Develop, test, and maintain scalable and efficient data pipelines to acquire and transform large
volumes of structured and unstructured data, from multiple sources and systems, into a format
suitable for analysis by data science staff.
Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
Create data tools for analytics and data scientist team members that assist them in building and
optimizing our products.
Understand and translate business needs into solutions that support long-term projects and
goals.
Remain current on new technologies and available vendor packages; evaluate and make
recommendations as necessary.
Work in close partnership with cross-functional teams and management.
Competencies Required:
Bachelor s degree in Computer Science, Engineering, or related field (or equivalent professional
experience).
Must have SQL knowledge and experience working with relational databases.
Experience in querying, analyzing and working with data languages and platforms (SQL) to
investigate large and diverse data sets.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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