Join the Google Cloud team and empower organizations to achieve digital transformation. This role focuses on optimizing supply chain systems and analytics for faster decision-making.

You will be instrumental in driving the growth of Google Cloud by providing efficient data solutions that enhance product, process, and capability growth.

Work with cutting-edge technology to deliver enterprise-grade solutions that help developers build more sustainably and solve critical business challenges for customers worldwide.

Design and implement robust, scalable data pipelines with comprehensive quality monitoring. Develop complex SQL queries for data extraction and transformation, supporting automated reporting and quantitative analysis.

Collaborate with cross-functional teams to translate stakeholder data needs into effective technical solutions. Create and maintain insightful dashboards for data-backed recommendations and visualizations.

Automate data processes using well-structured Python and SQL code. Champion data governance initiatives for compliance and mentor junior engineers through technical guidance and code reviews.

A Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience is required. Minimum of 5 years of experience in data analysis, SQL database querying, and BigQuery is essential.

Preferred qualifications include 12 years of experience in data engineering and governance, defining policies, and managing metadata. Proficiency in Python, complex system design, and deploying solutions across GCP, data warehouses, and quality tools is highly desirable.

Demonstrated leadership in large-scale technical projects, mentoring junior engineers, and strong collaborative problem-solving skills are key. Expertise in large-scale data analysis, statistics, and machine learning model development, ideally with Data Center or Supply Chain domain knowledge, is a plus. Exceptional communication skills to convey complex technical concepts are vital.