An open, monthly, aggregates-only snapshot of the Indian tech job market — built from public listings on Naukri. (Internshala fresher/stipend data joins the next refresh.) No raw listings, no personal data: only counts, shares and salary distributions across many postings. Free under CC BY 4.0.
This snapshot: 1,375 tech listings · sources: naukri · generated 2026-08-13 · methodology v1.0.0
Coverage note (read this): v1 samples a fixed grid of roles × metros on Naukri, so role-mix, city-mix and the remote/onsite split reflect that query design — not the whole market (a city-filtered search structurally under-counts remote roles). The robust, cross-cutting signals here are skill demand and salary. Coverage widens every month.
- SQL tops skill demand (19% of listings); the top 5: SQL, Python, HTML/CSS, JavaScript, Machine Learning.
- Only 11% of listings disclose salary — the rest just say 'Not Disclosed'.
- Among those that do disclose: median ~15 LPA (full breakdown by experience below).
- 16% of listings are open to freshers (0-1 yrs).
- Within this sample, DevOps / Cloud and Data Science / ML listings dominate (reflects the roles queried — see coverage note).
Methodology in short: public listings collected via the scrapers below, normalized to a common vocabulary, de-duplicated, then aggregated. Cells backed by too few listings are suppressed. This is an independent estimate, not official platform data — see METHODOLOGY.md.
| Skill | % of listings | listings |
|---|---|---|
| SQL | 19% | 259 |
| Python | 17% | 233 |
| HTML/CSS | 17% | 228 |
| JavaScript | 15% | 201 |
| Machine Learning | 14% | 189 |
| Git | 11% | 148 |
| Linux | 9% | 121 |
| AWS | 7% | 98 |
| Jenkins | 7% | 96 |
| React | 7% | 90 |
| Azure | 6% | 85 |
| Power BI | 6% | 76 |
| Java | 5% | 75 |
| Kubernetes | 5% | 75 |
| GCP | 5% | 73 |
| Role family | % of listings | listings |
|---|---|---|
| DevOps / Cloud | 20% | 271 |
| Data Science / ML | 18% | 253 |
| Software (general) | 18% | 252 |
| Data / Analytics | 18% | 246 |
| Frontend | 14% | 196 |
| Full-Stack | 6% | 80 |
| Data Engineering | 2% | 25 |
| Other | 2% | 25 |
16% of listings in this sample are open to candidates with 0-1 years of experience.
| Experience | median CTC (LPA) | p25 | p75 | listings |
|---|---|---|---|---|
| Mid (3-6) | 13.5 | 10.0 | 21.0 | 65 |
| Senior (6-10) | 20.0 | 15.0 | 24.5 | 51 |
Salary bars use disclosed listings only — and only 11% of listings disclose pay, so treat these as directional. Cells with too few disclosed salaries are suppressed.
| # | Company | listings | top role | top city |
|---|---|---|---|---|
| 1 | Tata Consultancy Services | 27 | Data Science / ML | Bengaluru |
Only organizations with ≥ 27 listings this month are named; smaller listers are omitted to avoid surfacing individuals.
data/latest/aggregates.csv— the full long-format datasetdata/latest/aggregates.json·aggregates.parquet·top_companies.csv- Column dictionary:
docs/SCHEMA.md· Timeseries:data/timeseries/headline_index.csv - License: data is CC BY 4.0 — free to use with attribution ("Bharat Jobs Engine" + a link back). Please cite (CITATION.cff).
This dataset is aggregated from two scrapers I built and maintain — run them yourself for real-time listings (first results free on Apify's free tier):
I build and maintain production web scrapers and job-market data pipelines (Python & Node, Playwright / Cheerio / Crawlee, anti-bot, turnkey Apify actors). Every scraper behind this dataset is mine. Need a custom scraper, a clean market dataset, or a pipeline that runs itself? Open an issue with the hire label or reach me via my profile. Projects typically start around $300.
Not affiliated with Naukri or Internshala. Aggregated public data, no PII, provided for research and market-transparency purposes. New source contributions welcome — see CONTRIBUTING.md.