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Haptik logo — Haptik Data Engineer in Chandigarh, Chandigarh
Haptik VerifiedActively Hiring

Data Engineer

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Location

Chandigarh, Chandigarh

Work Mode

Work from Home

Duration

0 months

Stipend

₹50,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Data Science

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About the Internship

Applications are open for the Data Engineer position at Haptik in Chandigarh. You will join a working team in data engineering, take a defined area end to end, and see the result of your work in the hands of real users or customers. About the role The Data Engineer role at Haptik centres on…

About Haptik

Haptik is hiring a Data Engineer in Chandigarh — a full-time full-time position working in SQL, Python and a workflow orchestrator, with an indicative CTC of 4 LPA–8 LPA and 4 openings.
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Chandigarh, ChandigarhVerified employer4 openings
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Skills Required

SQLPythonETL / ELT DesignApache AirflowData ModellingCloud Data WarehouseData Quality ChecksGitDebugging PipelinesPerformance Tuning

Who Can Apply

  • B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) graduates with 0–2 years of relevant experience, based in Chandigarh or willing to relocate. You should be comfortable with SQL, Python, ETL / ELT Design, Candidates from any recognised university are welcome, and career-changers with demonstrable skills are read on the same terms as fresh graduates. Freshers and final-year students awaiting results are welcome to apply — the selection process is designed to test how you think, not how much you have already memorised.

Perks

Structured onboarding with a named mentor for the first 90 daysHealth insurance cover for you (and family cover on confirmation)Learning and certification budgetPaid leave, casual leave and public holidaysFlexible working hours around core collaboration timeModern hardware and the tool licences your role needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surprise

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Team fit conversation with two or three future colleagues
  3. 3Final discussion covering role expectations, compensation and start date
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
50,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeWork from Home
CategoryData Science
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