Data Engineer

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Skills you'll use

What you'll do

• Build and maintain data pipelines on a schedule
• Model data so downstream teams can query it sensibly
• Add quality checks that catch bad data early
• Investigate and fix pipeline failures
• Document lineage and ownership
• Flag risks and blockers early rather than at the deadline
• Keep your tracker and status honest, including when something has slipped

Who can apply

• B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) from a recognised university
• 0–2 years of relevant experience — internships, academic projects and personal work all count, and 2026 graduates are welcome
• Working knowledge of SQL, Python, ETL / ELT Design
• Comfort with SQL, Python and a workflow orchestrator, and the ability to pick up an unfamiliar tool without waiting to be taught it
• The judgement to know when a problem is yours to solve and when it needs escalating — and to escalate with the relevant detail attached.
• Attention to detail, ownership and the discipline to document your work
• Based in Delhi, Delhi or willing to relocate

Perks & benefits

Interview & selection process

3 rounds — typical selection flow for this role:

1. 1Resume screening and profile shortlisting by the talent acquisition team
2. 2Application screening (CV and, where relevant, a portfolio or code sample)
3. 3HR discussion — compensation, notice period, joining date and offer roll-out

About 63moons Technologies

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