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Tier-1 brand, mid-level data engineer title, and metro location increase candidate competition.
Core data engineering skills are broadly transferable, but supply-chain governance domain adds medium specialization.
Explicit 5-year minimum plus mandatory GCP/BigQuery/Python and governance requirements enforce strict filtering.
Build and maintain scalable, high-quality data pipelines and dashboards to support faster decision making in Google Cloud's Supply Chain.
Translate stakeholder data requirements into technical solutions through complex SQL, Python tooling, and collaborative problem solving with cross-functional teams.
Own Data Governance policies and compliance, while mentoring junior engineers and leading technical standards within the team.
Bachelor's degree in Computer Science, Information Systems, or related technical field, or equivalent experience.
Minimum 5 years experience in data analysis, database querying (e.g., SQL), and BigQuery.
Proficiency in Python programming and experience building data pipelines on Google Cloud Platform.
Work Experience Required: Minimum 5 years (with 12 years preferred for senior leadership and governance responsibilities).
Leader with extensive experience (preferably 12+ years) in data engineering and governance, capable of setting policies and ensuring compliance at scale.
Skilled in complex system design and deployment on GCP, with ability to drive large-scale technical projects and mentor junior staff.
Strong domain knowledge in Supply Chain or Data Center environments, with expertise in analytics, machine learning, and cross-functional collaboration.