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Salary
≈ $23k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 2+ years exp

First seen by Alion on Oct 23, 2026.

Overview
Company
Impact
Profile match
Delightree replaces scattered tools with one system franchisees actually use to launch locations, train teams, manage daily work, and get answers.

You'll design, build, and own data pipelines and integrations end-to-end — new customer sources, new connectors, and the transforms and data models behind them. We're looking for someone who takes full ownership of what they build and is a strong prospect to grow into a Senior Data Engineer in the near future.


Responsibilities:

  • Build new integrations end-to-end — source connectors (SaaS APIs via Nango, API-key sources via Python clients, warehouse sources), the extract/transform/load code, and the data models that land clean data into our ClickHouse silver/gold tables.
  • You own your pipelines from first line to production.
  • Design transforms and data models for the sources you own — deciding how a new customer's data maps into our shared schema, not just implementing someone else's spec.
  • Write clean, tested, idempotent pipeline code to our engineering standards — unit tests, schema/data-quality validation, structured logging, docstrings.
  • Onboard new customers — bring up their sources, map their entities, and solve the data-quality and modelling quirks that make every customer different.
  • Own the operability of what you build — freshness checks, backfills, and fixing your pipelines when they break (because the person who built it fixes it best).
  • Contribute to the shared platform and to code reviews; write the runbooks and data dictionaries for the pipelines you own.


Requirements:

  • 2-3 years of professional data engineering (or backend engineering with substantial data work).
  • Strong Python — clean, typed, testable code; comfortable with pandas/polars or equivalent for transforms.
  • Solid SQL and understanding of relational/columnar data modelling; able to write and reason about non-trivial queries.
  • Experience building ETL/ELT pipelines and consuming REST APIs (auth, pagination, rate limits, retries).
  • Familiarity with cloud data infra — AWS (S3 especially), containers/Docker, and a warehouse or OLAP store (ClickHouse, BigQuery, Snowflake, Redshift, or similar). Version control (Git) and working within a PR/code-review flow.

Skills

elt, etl, python, sql

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