Design and build data marts to empower and accelerate Data Science and Analytics (DSA) teams and their stakeholders.
Requirements
- 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 (Extract, Transform, Load) and dimensional data modeling for synchronous and asynchronous system integration and implementation.
- Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
- Experience with experimentation infrastructure, and measurement approaches in a technology platform.
- Experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
- Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams.
Responsibilities
- Conceptualize and own the build out of problem-solving data marts for consumption by data science and business intelligence teams, evaluating design and operational cost-benefit tradeoffs within systems.
- Design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) 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.
- Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies.
- Design and build data marts that will empower and accelerate the DSA team and its stakeholders.
- Architect data marts, designing and implementing necessary data pipelines, and establishing governance and quality processes to guarantee data availability, usability, and accuracy.
- Manage troubleshooting technical issues, and working with Engineering and Sales Services teams.
Other
- Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- Influence product and cross-functional (engineering, data science, marketing, strategy) teams to identify data opportunities to drive impact.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
