What the range actually looks like
Salary for Azure Data Engineers in India varies more by employer type than by experience. A person with four years at a product company often out-earns someone with eight at a service company doing similar work.
| Experience | Service company | Product company |
|---|---|---|
| 2–4 years | ₹8L – ₹14L | ₹14L – ₹22L |
| 4–7 years | ₹12L – ₹20L | ₹20L – ₹32L |
| 7+ years | ₹18L – ₹28L | ₹28L – ₹45L |
Figures reflect Bengaluru, Hyderabad and Pune. Treat them as a working guide, not a guarantee — your offer depends on how you interview.
What moves the number
Spark depth. Everyone lists Databricks. Far fewer can explain a shuffle, diagnose skew, or say why a job that ran fine last week now takes four hours.
Production ownership. Having been on call for a pipeline changes how you answer questions, and interviewers can tell within two minutes.
Modelling judgement. Knowing when a star schema is wrong for the use case.
What does not move it much
Certifications. They help you get past an automated screen and do almost nothing in the room. Nobody has ever been hired for DP-203 alone.
How to actually get the higher number
Target product companies, and prepare for their interview loop specifically — system design and a real conversation about tradeoffs, rather than tool trivia.