As a Data Engineer in the gData team at Google, you will design and build foundational data infrastructure to support the Google Ads ecosystem. You will work on complex, large-scale challenges using Google's proprietary technology to deliver a reliable single source of truth. The gData team empowers Google to make informed business decisions by managing massive datasets and providing actionable insights. Your role will involve collaborating with cross-functional teams to optimize data models and ensure robust data pipelines.

• Bachelor's degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.
• 3 years of experience with data processing software such as Hadoop, Spark, Pig, or Hive.
• Experience with database administration techniques or data engineering, and proficiency in programming languages like Java, C++, Python, Go, or JavaScript.
• Experience managing client-facing projects and troubleshooting technical issues.

• Design, develop, test, and maintain reliable and scalable data pipelines and ETL/ELT architectures using Google's distributed data systems.
• Contribute to the modernization of the Ads Data Infrastructure and Customer Data Platform, optimizing data models.
• Partner closely with cross-functional stakeholders to translate evolving business requirements into actionable technical data solutions.
• Work with Data Scientists and Business Analysts to transition analytical prototypes into stable, production-grade reporting environments.
• Lead data quality by authoring technical design documents and executing rigorous code reviews.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.