Hyderabad, Telangana
Hire data engineers in Hyderabad
Key facts
Shortlist
48 hours
Typical time to hire in Hyderabad
18–35 days
Talent availability
Moderate supply
Salary bands
Data engineers salaries in Hyderabad
Junior
1–3 yrs
Mid
3–6 yrs
Senior
6–10 yrs
Lead
10+ yrs
Show as table
| Level | Hyderabad |
|---|---|
| Junior (1–3 yrs) | ₹8–16 LPA |
| Mid (3–6 yrs) | ₹16–30 LPA |
| Senior (6–10 yrs) | ₹28–50 LPA |
| Lead (10+ yrs) | ₹45–75 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 Hyderabad
60–90 days is typical for mid and senior engineers, with 90 days common at large GCCs.
Local hiring notes
- Cloud and data engineering supply is strong because of the concentration of large GCCs.
- Many candidates are moving between GCCs; career growth and scope win more often than pay alone.
- Relocation from other cities is common for senior roles; we include relocation intent in dossiers.
Where the talent works
HITEC City and Madhapur · Gachibowli · Financial District · Kokapet
GCC hiring in Hyderabad →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.
Why are so many GCCs choosing Hyderabad?
A combination of talent supply in cloud and data, modern office infrastructure and costs below Bengaluru. Competition is rising, so employer brand matters more each year.
Two-minute brief
Hiring data engineers in Hyderabad?
We've pre-filled the role. A recruiter replies within 4 business hours; your shortlist follows within 48 hours.