Data Engineer Senior
Zebra Technologies CorporationMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Lead the technical direction and standards of the data engineering team, including architecture decisions and quality review of pipelines.
Design, build and maintain scalable end-to-end production data pipelines using Databricks (medallion architecture) and Google BigQuery, optimizing for performance and cost.
Evaluate and adopt new Databricks and BigQuery features to improve pipeline design, governance, and performance while mentoring engineers on technical best practices.
Minimum Requirements
7–10 years of experience in data engineering with proven experience building and owning production data pipelines end-to-end.
Proven leadership experience guiding technical decisions, code reviews, and mentoring within a data engineering team.
Hands-on experience with Databricks platform, including medallion architecture, and Google BigQuery with awareness of their evolving features.
Proficiency in Python, SQL, and Git version control; Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Ideal Candidate Profile
Experienced technical leader comfortable driving architecture, standards, and mentoring in a collaborative team environment.
Deep domain expertise in modern cloud data engineering, specifically on Databricks and Google BigQuery platforms with current knowledge of their new features.
Ownership mindset with demonstrated ability to deliver robust data solutions from design to production while partnering closely with analytics and business stakeholders.