Data Engineer, Play Data Science and Analytics

Google is a global technology company that provides a wide range of internet-related services and products.
$180,000 - $267,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
10+ years of experience
Enterprise SaaS

Description For Data Engineer, Play Data Science and Analytics

Google Play, serving over four billion users worldwide, is seeking a Data Engineer for their Play Games Data Science and Analytics (DSA) team. This role combines technical expertise with business acumen to support Play's loyalty-focused products including Play Points and Play Pass. The position involves close collaboration with various DSA teams and upstream analytics engineering teams to design and build data marts that will empower and accelerate the DSA team and its stakeholders.

The ideal candidate will possess deep understanding of data scientists' requirements and expertise in architecting data marts, implementing data pipelines, and establishing governance processes. They will work with cloud-based services, experimentation infrastructure, and data processing software like Hadoop and Spark. The role offers the opportunity to impact Google Play's strategic decision-making through data-driven insights.

Working at Google provides competitive compensation including base salary, bonus, equity, and comprehensive benefits. The company is committed to fostering an inclusive environment and values diversity in its workforce. This position offers the chance to work on impactful projects while collaborating with talented professionals in a supportive culture that emphasizes innovation and technical excellence.

Last updated 5 hours ago

Responsibilities For Data Engineer, Play Data Science and Analytics

  • Conceptualize and own the build out of problem-solving data marts for consumption by data science and BI teams
  • Design, develop, and maintain robust data pipelines and ETL processes
  • Create or contribute to frameworks that improve the efficacy of logging data
  • Scrutinize and validate data integrity throughout the collection process
  • Influence product and cross-functional teams to identify data opportunities to drive impact

Requirements For Data Engineer, Play Data Science and Analytics

Python
Java
  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
  • 10 years of experience coding with SQL or one or more programming languages for data manipulation, analysis, and automation
  • 8 years of experience designing data pipelines (ETL) and dimensional data modeling
  • Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams

Benefits For Data Engineer, Play Data Science and Analytics

Medical Insurance
401k
Equity
  • Medical Insurance
  • 401k
  • Equity

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