Zebra provides the foundation for intelligent operations with an award-winning portfolio of connected frontline, asset visibility and automation solutions. Organizations globally across retail, manufacturing, transportation, logistics, healthcare, and other industries rely on us to deliver outcomes today while driving innovation for what’s next. Together with our partners, we create new ways of working that improve productivity and empower organizations to be better every day.
Zebra Technologies Recruitment Drive 2026 | Zebra Technologies Hiring Software Engineer
- Company Name
- Zebra Technologies
- Company Website
- http://www.zebra.com/
- Experience
- 3-5 Years
- Job Role
- Data Engineer II
- Job Type
-
- Experienced
- Job Location
-
- Bengaluru/Bangalore
- Skills
-
- Good Communication Skill
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 17 Nov 2026
About Company
Eligibility Criteria
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- Familiarity with orchestration/workflow tools (Airflow, Databricks Workflows, dbt)
- Exposure to CI/CD practices for data pipelines
- Exposure to streaming/near-real-time data concepts
- Familiarity with data governance and cataloging concepts (Unity Catalog, etc.)
- Experience working in Agile/Scrum environments
Job Description
- 3–5 years of experience in data engineering or a related role, with experience building and maintaining production data pipelines
- Hands-on experience with the Databricks platform, including working knowledge of the medallion (bronze/silver/gold) architecture
- Hands-on experience with Google BigQuery
- Solid proficiency in Python, SQL, and Git version control
- Understanding of data modeling fundamentals — facts, dimensions, and the ability to contribute to or build data models
- Ability to work across multiple source systems and adapt pipeline design to different data types and structures
- Design, build, and maintain scalable data pipelines to onboard and integrate data from a variety of source systems
- Work within the Databricks platform, applying working knowledge of the medallion architecture (bronze, silver, gold layers) to build and maintain reliable, well-structured pipelines
- Stay current with new Databricks capabilities (e.g., Unity Catalog, Delta Lake features, Delta Live Tables, Databricks SQL) and apply them to improve pipeline design and performance
- Build and maintain data models grounded in solid data fundamentals, including fact and dimension modeling
- Develop and optimize workloads in Google BigQuery, staying current with new BigQuery features and applying them to improve performance and query efficiency
- Troubleshoot pipeline issues, perform root-cause analysis, and implement fixes to ensure data reliability and quality
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