Responsibilities:
n? Assembling mixed sets of data that meet non-functional and functional business requirements.
n? Identifying, designing, and implementing internal process improvements including re-designing
ninfrastructure for greater scalability, optimizing data delivery, and automating manual
nprocesses.
n? Building required infrastructure for optimal extraction, transformation and loading of data from
nvarious data sources using a combination of technologies.
n? Building analytical tools to use the data pipeline, providing actionable insight into key business
nperformance metrics including operational efficiency and customer acquisition.
n? Working with data, design, product and executive teams and assisting them with data-related
ntechnical issues.
n? Supervise and manage pipelines while also communicating any issues to partners and teams.
n? Fix technical issues and maintain automation processes.
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nMinimum Qualifications:
n? BS Engineering and/or Data Analytics preferred
n? 5+ years of experience in Data Warehousing and Data Engineering
n? Deep understanding of RDBMS, ORDBMS, and other large DBMS systems.
n? Deep understanding of REST protocol, JSON data structure, SQL technologies and syntax.
n? Hands-on experience with ETL.
n? Understanding of privacy and compliance practices around data (GDPR, CCPA)
n? Proven ability to research, test, and implement new technologies
n? Experience with Google App Scripts, Python, and other scripting technologies
n? Experience with agile methodologies and working iteratively
n? Ability to communicate with a variety of different levels of audiences, effective communication
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nPreferred Qualifications:
n? Experience with machine learning
n? Understanding of business operations/finance/game development
n? Experience building front end software services
n? Experience with Tableau or other BI tools
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nSchedule Requirements:
n? Monday - Friday Standard Business Hours