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Data Engineer

2 months ago

Austin, United States Virtual Full time

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