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