The Cloud Data Engineer I role at Google Cloud focuses on building and maintaining production data pipelines and innovative data products. The position is part of the Merchant Data Science team, which aims to empower data-driven decision-making through scalable data solutions. The engineer will work at the intersection of data and tools engineering, utilizing generative AI to enhance data products. This role involves collaborating with cross-functional teams to address complex challenges in advertising technology.

• 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 in building and maintaining production data pipelines that rely on multiple upstream data sources.
• Experience writing automated tests and validation for data pipelines.

• Own challenging, non-routine problems end-to-end by identifying underlying needs and processing complex datasets.
• Proactively design, build, and scale innovative data products, including self-serve tools and automated pipelines.
• Advance data infrastructure, product quality, and foundational understanding through automated validation frameworks and data quality monitoring.
• Operate with a high degree of autonomy, managing complex data engineering projects from conception to impact.
• Advocate for impactful data products while contributing to a team culture that values engineering excellence and effective communication.

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