Pune, Maharashtra
Hire data engineers in Pune
Key facts
Shortlist
48 hours
Typical time to hire in Pune
18–35 days
Talent availability
Moderate supply
Salary bands
Data engineers salaries in Pune
Junior
1–3 yrs
Mid
3–6 yrs
Senior
6–10 yrs
Lead
10+ yrs
Show as table
| Level | Pune |
|---|---|
| Junior (1–3 yrs) | ₹8–15 LPA |
| Mid (3–6 yrs) | ₹15–29 LPA |
| Senior (6–10 yrs) | ₹27–48 LPA |
| Lead (10+ yrs) | ₹43–71 LPA |
Indicative ranges compiled by Emplyify from market data, Q4 2026. They are a starting point for budgeting, not an offer benchmark; our Talent Index will replace them with pipeline data.
Notice periods in Pune
Most mid and senior engineers serve 60–90 days' notice. Service-company engineers commonly have 90 days; product-company engineers more often 30–60.
Local hiring notes
- Embedded and automotive software is a Pune strength — expect stronger supply than in other cities.
- Hybrid policies matter: commutes across Hinjewadi and Kharadi are long, and candidates ask about office days early.
- Counter-offers are common for senior engineers; we prepare candidates for them before the offer.
Where the talent works
Hinjewadi · Kharadi · Baner and Balewadi · Magarpatta and Hadapsar
GCC hiring in Pune →Our screen
Skills we vet for data engineers
Data engineering hires fail when pipelines look fine in a demo and fall over at scale. We screen for ownership of production pipelines, data quality and cost.
| Skill | How we evidence it |
|---|---|
| SQL and data modelling | A modelling exercise on a realistic schema |
| Spark / distributed processing | Discussion of partitioning, skew and job tuning they have done |
| Orchestration | Airflow, Dagster or similar: how they handled retries and backfills |
| Cloud data platforms | Hands-on depth in Databricks, Snowflake, BigQuery or Redshift |
| Data quality | Tests, contracts and incident handling for bad data |
Sample interview loop
A loop that respects candidates' time
1. Recruiter screen · 30 min
Motivation, notice period, CTC, must-have skills
2. Technical deep-dive · 60 min
Past systems, trade-offs, depth on core skills
3. Practical exercise · 60–90 min
Live problem or take-home review, never unpaid multi-day work
4. Hiring manager · 45 min
Team fit, ownership, communication
Screening questions we ask
- “Walk us through the largest pipeline you owned. What failed most often?”
- “How did you handle a late-arriving or corrupt data incident?”
- “How did you reduce the cost of a data platform?”
- “Batch or streaming for this use case — and why?”
Questions
Do you hire analytics engineers as well?
Yes. Tell us in the brief whether the role sits closer to dbt and the warehouse or to Spark and platform work; the screen is different.
Can you hire for a specific platform such as Databricks?
Yes. We mark platform depth as a must-have and evidence it on every dossier.
Is Pune a good location for a new GCC?
For automotive, embedded, enterprise software and BFSI technology, yes: talent depth is strong and costs are typically lower than in Bengaluru. For large senior AI teams, consider a hybrid plan with remote hires.
Two-minute brief
Hiring data engineers in Pune?
We've pre-filled the role. A recruiter replies within 4 business hours; your shortlist follows within 48 hours.