Data Engineer, Play Data Science and Analytics

Google Play provides apps, games, and digital content services for Android devices, serving over four billion users worldwide.
$180,000 - $267,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
Enterprise SaaS · Gaming

Description For Data Engineer, Play Data Science and Analytics

Google Play is seeking a Data Engineer to join their Play Games Data Science and Analytics (DSA) team. This role is crucial in providing insights and operational accuracy that enable Play to delight users, empower developers, and create value for Google. The position involves working 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, designing and implementing data pipelines, and establishing governance processes. They will work with cloud-based services, handle data engineering, storage, processing, warehousing, and real-time streaming.

The role offers competitive compensation ($180,000-$267,000) plus bonus, equity, and benefits. You'll be part of Google Play's ecosystem that serves over four billion users globally. This is an opportunity to work with cutting-edge technology and contribute to Play's loyalty-focused products, including Play Points and Play Pass.

Key responsibilities include building data marts, developing ETL processes, ensuring data integrity, and influencing cross-functional teams. The position requires extensive experience with SQL, programming languages like Python or Java, and data pipeline design. You'll work closely with Engineering and Sales Services teams, contributing to frameworks that improve data logging efficiency.

This role is perfect for someone who combines technical expertise with strategic thinking, as you'll be working on critical data infrastructure that powers Google Play's analytics and decision-making processes. Join a team that's at the intersection of technology, data science, and business impact, helping shape the future of Google Play's data architecture.

Last updated a day 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, evaluating design and operational cost-benefit tradeoffs within systems
  • Design, develop, and maintain robust data pipelines and ETL processes using data platforms for the Play Store organization's centralized data warehouse
  • Create or contribute to frameworks that improve the efficacy of logging data, while working with the Data Infrastructure Engineering team to triage issues and resolve them
  • Scrutinize and validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies
  • Influence product and cross-functional (engineering, data science, marketing, strategy) 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 (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation
  • 8 years of experience designing data pipelines (ETL) and dimensional data modeling for synchronous and asynchronous system integration and implementation
  • 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
  • Bonus
  • Equity
  • Medical Benefits

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