Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience in a data engineering, data infrastructure, or data analytics role.
- Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
Preferred qualifications:
- Experience with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Experience with data analysis, including statistics, and ML model development (data preparation, model selection, evaluation, tuning).
- Experience in scripting languages like Python for data manipulation, analysis, and automation.
- Ability to monitor, troubleshoot, and tune data systems and pipelines to improve efficiency.
- Ability to develop tools and systems to automate data processes, and increase overall efficiency, with proficiency in programming languages (e.g., SQL, Python), producing readable and well-structured code.
- Ability to deliver and maintain data projects from conception to production.
About The Job
Google Play provides apps, games, and digital content services that bring Android devices to life. The Play Store serves over four billion users around the world, and is a critical driver of Google's overall revenue growth. The Play Data Science & Analytics (DSA) team works on a variety of challenging data science projects to drive product and go-to-market decisions for Play. Our vision is to Power Play's growth by building a deep understanding of our users and developers, enabling data-driven decision making, through strategic insights, thought leadership, and unified data foundations.
As a Data Engineer on the Play Data Science & Analytics team, you will take a significant role in designing and building the next generation of our data infrastructure. You will be responsible for architecting, implementing, and optimizing complex and scalable data pipelines, moving beyond basic development to own key components of our data warehouse. This role requires a strong technical expert who can handle massive datasets, write highly efficient SQL and Python code, and collaborate effectively with senior stakeholders and other engineers. You will not only build innovative data foundations, and AI-driven insights solutions, but also help define the standards and best practices that elevate the entire team, driving data quality and AI-readiness initiatives.
Responsibilities
- Design, build,and maintain scalable and reliable data pipelines to ingest, process, and store data from various sources. Implement robust data quality checks and monitoring systems to ensure data accuracy, integrity, and reliability.
- Write complex SQL queries for data extraction and transformation, enabling both Ad-hoc analysis and automated reporting. Conduct quantitative data analysis to support business decisions and identify opportunities for improvement.
- Develop and manage robust, scalable data foundations and models specifically designed to support AI/ML initiatives and the generation of AI-driven insights.
- Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate complex tasks, such as data analysis, report generation, and system orchestration.
- Proactively partner with executive business stakeholders, and data scientists.
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 .
