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 · AI

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 collaborating 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 requires strong skills in SQL and programming languages such as Python or Java, along with extensive experience in ETL processes and dimensional data modeling.

Working at Google's Mountain View location, you'll be part of a team that provides critical insights enabling Play to delight users, empower developers, and create value for Google. The position offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. This is an excellent opportunity for experienced data professionals looking to make an impact at scale while working with cutting-edge technologies and talented teams.

Last updated 9 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
Equity
401k
  • Medical Insurance
  • Equity
  • 401k

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