Data Engineer I – AI Data Pipelines & QA Automation
Zebra Technologies · Bengaluru
| Company | Zebra Technologies |
|---|---|
| Role | Data Engineer I – AI Data Pipelines & QA Automation |
| Location | Bengaluru |
| Work mode | Hybrid |
| Experience | 1–3 years |
| Job type | Full-time |
About this job
Zebra Technologies is hiring a Data Engineer I in Bengaluru to help build data platforms for its AI products. The pipelines you build will feed AI workloads that run on GPUs and CPUs.
The role mixes data engineering with testing. You will write Spark and Dask code, build data checks using agentic AI with human review, and test product features from both the backend and the UI. Customer bug reports and performance profiling are part of the work. The role is hybrid.
Eligibility
- B.E. or B.Tech in engineering
- 1+ years of automation experience
- Python, PySpark, SQL and GCP or Azure
- ETL pipeline building; Azure Data Factory or Delta Live Tables a plus
- UI and data test automation with Playwright or Selenium, plus LLM/RAG basics
Skills required
What you will do
- Build reusable data pipelines that feed AI products
- Write Spark (Python/Scala) and Dask transformation code
- Create data quality tests using agentic AI with human checks
- Test backend and UI against requirements and log clear defects
- Profile code and help control cloud costs
How to apply
- Open the official Zebra Technologies job page with the Apply button and submit your application there.
- Tailor your resume to data pipelines and test automation you built, including any LLM or RAG work.
Before the interview, prepare:
- PySpark: DataFrames, joins, partitions and caching
- Data quality checks: null, range, schema and duplicate tests
- Playwright or Selenium: locators, waits and flaky tests
- RAG basics: embeddings, vector search and grounding answers
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