AA
AA
Data Engineer
Posted 28d agoBe an early applicant
What this role pays, in context
This listing does not state its pay. Data Engineer roles in India currently advertise a median of ₹23.8K a month.
25th pct ₹20.4K75th pct ₹27K
Median of 12 other live Data Engineer listings in India on this board that state pay. Roles that do not disclose a salary are excluded rather than counted as zero.
About the role
Auralis ingests subscription and billing events from a few hundred customers, each with their own idea of what a clean payload looks like. Your job is to turn that into a warehouse our product and our customers can trust without an asterisk.
The interesting part
Almost nothing arrives cleanly. Events land late, get replayed, carry the wrong timezone or reference an entity that has not been created yet. Designing models that stay correct through all of that, and that make a bad batch visible rather than silently averaged away, is most of the work.
The stack is Python, Airflow, dbt, Postgres and a columnar warehouse, with Spark for the two customers whose volume needs it. We deliberately keep it small enough that one engineer can hold the whole pipeline in their head.
What we look for
Three to six years in data engineering or a strong backend background with real SQL depth. You should be opinionated about modelling, comfortable with orchestration, and disciplined about testing data the way you would test code.
Responsibilities
- Design and maintain ingestion pipelines for customer billing events
- Own the dimensional models that power the product and customer reporting
- Add data quality tests and alerting so bad batches fail loudly
- Manage warehouse cost and query performance
- Work with the Python backend team on the reporting API contract
Requirements
- 3-6 years in data engineering or backend with heavy SQL
- Strong Python and production experience with Airflow or similar
- Dimensional modelling experience, dbt a plus
- Comfortable with at least one columnar warehouse
- Rigorous about correctness and idempotency in pipelines
Skills
Benefits
- Four-day office week, Fridays remote
- Health insurance for you and immediate family
- Real ownership — you would be the third data engineer
- Paid conference and course budget
