Join the Google Cloud team to empower businesses and organizations through seamless transitions to Google products. This role focuses on solving technical challenges and showcasing the productivity, collaboration, and innovation potential of our offerings. You will collaborate with web developers, system administrators, and international clients, playing a vital role in expanding Google's Cloud business.

The Cloud Supply Chain Data Engineering team is dedicated to creating highly efficient systems and analytics. This is crucial for accelerating decision-making and improving throughput within Google Cloud's Supply Chain operations. As Google Cloud expands, your contributions will directly support product, process, and capability growth, helping Google achieve its market and competitive objectives.

Google Cloud empowers organizations with digital transformation through enterprise-grade solutions and cutting-edge technology. We provide tools for developers to build more sustainably. Businesses worldwide rely on Google Cloud as a trusted partner to foster growth and overcome their most critical challenges.

Design and implement scalable data pipelines with comprehensive quality monitoring to ensure data accuracy and integrity from diverse sources.

Develop complex SQL queries for efficient data extraction and transformation, enabling automated reporting and supporting data-driven business decisions.

Collaborate with cross-functional engineering and product teams to translate stakeholder data requirements into effective technical solutions.

Build and maintain insightful dashboards that clearly communicate actionable findings and promote data-backed recommendations. Automate data processes and develop efficient tools utilizing well-structured Python and SQL code.

Assume ownership of the Data Governance charter for compliance and provide technical guidance and code reviews to mentor junior engineers.

A Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience is required.

Possess at least 5 years of experience in data analysis, database querying using SQL, and working with BigQuery.

Demonstrated experience in data engineering and governance, including defining policies, ensuring compliance, and managing metadata systems is preferred, ideally up to 12 years.

Proficiency in Python, complex system design, and deploying solutions across GCP, data warehouses, and quality tools is essential.

Proven ability to lead large-scale technical projects, mentor junior engineers, and foster collaborative problem-solving is crucial. Expertise in large-scale data analysis, statistics, and machine learning model development, ideally with Data Center or Supply Chain domain knowledge, is highly desirable.

Exceptional communication skills to clearly articulate complex technical concepts to diverse audiences are expected.