Data Engineer
Virtual - austin, TX
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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
Created: 2024-10-18