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polopan
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Gurugram · On-site · 1-3 Yrs · Oct 14
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Closing on: Dec 30, 2026
Qualifications
- enjoy turning messy reality into clean, minimal systems
- think deeply about schemas, contracts, and downstream consequences
- prefer deleting data to hoarding it
- care about correctness, not cleverness
- are calm under constraint and decisive under deadlines
- building data pipelines (etl / elt) in production environments
- working with catalog, marketplace, or content-heavy datasets
- designing event schemas and data contracts
- debugging data quality issues that don’t throw errors
- familiarity with batch + near-real-time systems
- not a “ship fast, break things” role
- not a model-training or research-heavy ML role
- not a growth or analytics-only role
- we trust our catalog data without caveats
- product and ML teams stop asking “is this data right?”
- at least one major product decision becomes irreversible because of your work
- parts of the system become confidently deletable
- clean
- explainable
- trustworthy
- hard to lie to
- building catalog data pipelines
- design and maintain pipelines that ingest, normalize, enrich, and version product/catalog data
- define schemas that age well as the product evolves
- handle messy, incomplete, and inconsistent data without hiding the mess
- make catalog data usable for downstream systems (search, recommendations, personalization)
- owning data clarity end-to-end
- decide what should be logged and what should not
- ensure every dataset has a clear purpose and owner
- detect and debug silent failures, drift, and data pollution
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Job application FAQ
Last updated 28 October 2026
- How do I apply for founding data pipeline engineer at polopan?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. polopan may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this founding data pipeline engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is founding data pipeline engineer remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this founding data pipeline engineer role at polopan?
- This is a mid-level founding data pipeline engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.