Hire Data Engineers in India
Good data engineering is invisible until it breaks. HyrEzy finds Data Engineers who have built pipelines that other teams depend on, and who can show how they kept them correct, fast and affordable.
What your Data Engineer will own
Data engineering roles range from building the first warehouse at a startup to running streaming platforms at scale. The skills overlap, but the experience you need depends on your data volume, latency requirements and how many teams consume the data.
HyrEzy maps the role to your stack and scale before sourcing, so candidates are compared on the problems you actually have.
What separates strong candidates
- Pipelines in production that other teams rely on, with volume and freshness described.
- Streaming experience (Kafka, Flink, Spark Streaming) where real-time matters.
- Data quality work: tests, contracts, monitoring and incident handling.
- Warehouse and modelling depth (dbt, dimensional modelling, lakehouse formats).
- Cost ownership on cloud data platforms.
What to test in interviews
- A dashboard number is wrong and three teams have noticed. Walk through what you do.
- How would you move this nightly batch to near real time, and what breaks?
- How do you stop a schema change upstream from breaking everything downstream?
- Tell me about a time you reduced the cost of a data platform.
Common hiring mistakes
- Treating a list of tools as evidence of scale.
- Hiring a data scientist to do data engineering, or the reverse.
- Not testing for data quality and ownership, which is where most pipeline failures start.
How HyrEzy evaluates Data Engineers
Four layers before a candidate reaches your inbox. Zero retainer; you pay only on a successful hire, with a 90-day replacement guarantee.
Vantage Intelligence score
Every candidate is scored against your JD across 19 dimensions, with skills backed by project evidence separated from skills that are only claimed.
Recruiter validation
A recruiter with product-company hiring experience speaks to each shortlisted candidate about motivation, ownership, notice period and fit.
CV evaluation
A role-specific rubric with evidence cited from the resume, and red flags called out for your panel to probe.
Structured AI video interview
An adaptive, asynchronous interview with a full report, before you spend your own interview time.
Open Data Engineers roles HyrEzy is hiring for
Live from our current mandates.
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Frequently asked questions
Which data engineering skills are most in demand?
Streaming, modern warehousing and modelling, data quality and cloud cost control. The live panel on this page shows the most common skills in the current pool.
Do you hire for data platform and analytics engineering roles?
Yes, including platform, analytics engineering and data architecture roles.
What does it cost?
Success fees only, zero retainer, with a 90-day replacement guarantee.
Guides for hiring Data Engineers
- Notice Period Trends in Indian Tech: What Hiring Managers Need to Know
- How Long Does It Take to Hire a Senior Engineer in India?
- 7 Red Flags to Watch For in a Technical Interview
Hiring Data Engineers by city
Delhi NCRGhaziabadGurugramNoidaBangaloreHyderabadPuneMumbaiChennai
Other roles we hire for
AI EngineersML EngineersData ScientistsBackend EngineersFull-stack DevelopersDevOps & SRE EngineersProduct ManagersFrontend EngineersMobile EngineersQA & SDET EngineersEngineering ManagersData AnalystsUI/UX DesignersEnterprise SalesMarketingCustomer SuccessHR & TalentCXO & Leadership
Hiring Data Engineers?
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