Turn raw data into decisions with analysts and engineers who speak the language of insight
8+
Data professionals placed
62%
Average cost saving
8 days
Median time to shortlist
98%
Retention at 12 months
India produces more data engineers per year than any other country. From Bengaluru's ML research hubs to Hyderabad's analytics centres, UpTye taps the deepest talent pool in the world to build teams that go from raw data to boardroom-ready insight. Every candidate is assessed on SQL proficiency, data modelling rigour, and stakeholder communication not just tool familiarity
8+
Professionals placed
Select a role to review its scope, seniority, and core skills.
Selected role
Pipeline architects who design, build, and maintain scalable data infrastructure on cloud platforms
Core skills and tools
Talent selected for practical capability across the tools used by modern teams.
Why India
India's IITs and NITs have produced generations of mathematically rigorous engineers who then honed their skills inside global analytics teams at Amazon, Flipkart, Walmart Labs, and McKinsey's India offices. The result is a talent pool that combines academic rigour with production-grade experience available at 55–70% below US market rates
Case study
Built a 9-person data team in 22 days
The client needed to stand up a complete data function engineering, analytics, and ML before a Series-C board presentation. UpTye delivered a shortlist within 4 days, ran parallel interview tracks, and onboarded all 9 hires into the client's Snowflake environment within 3 weeks. The team shipped the investor dashboard on time
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Receive your first shortlist within 48 hours. No long-term commitment is required.
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