Full-Time
Data Engineer
Fractal Analytics
5,001-10,000 employees
Enterprise AI solutions for decision making
No salary listed
Mumbai, Maharashtra, India + 4 more
More locations: Pune, Maharashtra, India | Chennai, Tamil Nadu, India | Noida, Uttar Pradesh, India | Bengaluru, Karnataka, India
In Person
 Data & Analytics (1) |
|---|
- Experience requirement is 5-10 years
- A bachelor’s degree in Computer Science or related field with 6-12 years of technology experience
- Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space
- Software development experience using: Object-oriented languages (e.g. Python, PySpark,) and frameworks
- Database programming using any flavors of SQL
- Expertise in relational and dimensional modelling, including big data technologies
- Exposure across all the SDLC process, including testing and deployment
- Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Databricks, HD Insights, ML Service etc.
- Good knowledge of Python and Spark are required
- Good understanding of how to enable analytics using cloud technology and ML Ops
- Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus
- Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure)
- Characteristics of a forward thinker and self-starter
- Ability to work with a global team of consulting professionals across multiple projects
- Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems
- Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success
- Be an integral part of large-scale client business development and delivery engagements
- Develop the software and systems needed for end-to-end execution on large projects
- Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
- Build the knowledge base required to deliver increasingly complex technology projects
- Team handling, problem solving, project management and communication skills & creative thinking
- GenAI - added advantage
Fractal Analytics helps large enterprises use AI to improve decision making by combining AI, data engineering, and design across multiple products. Its offerings include Crux Intelligence for AI-driven insights, Eugenie.ai for sustainability, Asper.ai for revenue growth, and Senseforth.ai for conversational AI, plus Qure.ai in healthcare. The company applies machine learning, NLP, and data science to extract insights, automate tasks, and power enterprise conversations across analytics, sustainability, revenue, and customer interactions. Its goal is to power every human decision in the enterprise by delivering a broad enterprise-focused AI portfolio with a global delivery footprint and recognition from industry analysts and awards.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
New York City, New York
Founded
2000
Simplify's Take
What believers are saying
- Healthcare segment grew 82% YoY in Q4 FY26, driven by AI health assistant topping OpenAI HealthBench.
- PiEvolve agent surpasses 60% on OpenAI MLE-Bench, targeting supply chain and finance optimizations.
- Selected for India AI Mission to build national large reasoning model, boosting R&D with IPO funds.
What critics are saying
- Six mega-clients drive $120M+ revenue; churn to Deloitte or Accenture guts growth in 12 months.
- Anchor lock-up ends February 2027; SBI MF and LIC dump shares, crashing price 15%.
- Fortune 500 in-house AI teams at Google, JPMorgan displace Fractal's 5,000 consultants by 2028.
What makes Fractal Analytics unique
- Fractal delivers 'Decision Intelligence' via Dual-Engine of Fractal.ai services and Fractal Alpha ventures.
- Launched LLM Studio using NVIDIA infrastructure for enterprise-grade generative AI customization.
- Incubated Qure.ai, TIME100-listed healthcare AI detecting tuberculosis and lung cancer.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Holidays
Parental Leave
Unlimited Paid Time Off
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 1%Fractal Analytics, a newly listed AI company, reported consolidated revenue of INR 8,544 million for Q3 FY2026, growing 21% year-on-year. The company's profit after tax reached INR 1,001 million, whilst adjusted EBITDA grew 24% to INR 1,521 million. Growth was driven by the Healthcare and Life Sciences segment, which grew 78% year-on-year, and Banking and Financial Services, up 26%. Fractal expanded its gross margin to 47.2% and achieved a net revenue retention of 114%. The company's AI health assistant became the first model to score above 50 on OpenAI's HealthBench (Hard), outperforming ChatGPT-5 and Gemini Pro 3. Fractal now serves six clients generating over $20 million in revenue each, up from four previously.
Fractal, a global enterprise AI company, has launched PiEvolve, an evolutionary agentic engine for autonomous machine learning and scientific discovery. The system ranks among top-performing agents on OpenAI's MLE-Bench, becoming the first evaluated agent to surpass 60% in Overall Medal Rate and 80% in MLE-Bench-Lite performance. PiEvolve continuously tests and improves solutions using a graph-structured search architecture that integrates reasoning, code generation and validation. It delivers competitive results within 24 hours whilst maintaining efficiency, with strong performance evident after just 12 hours of runtime. The system features continuous optimisation, intelligent memory to avoid local optima, dual strategy for debugging, and production-ready capabilities including pause and resume functions. Fractal aims to deploy PiEvolve across complex optimisation problems in supply chains, financial services and data centre operations.
Fractal Analytics' initial public offering received a muted response on its first day of bidding on Monday, garnering just 9% subscription. The AI solutions provider received bids for 15.8 lakh shares against 1.86 crore shares on offer. The retail individual investors category attracted 35% subscription, whilst the non-institutional investors quota achieved 7% subscription. The three-day IPO continues through the week.
Fractal Analytics has opened a ₹2,834-crore IPO at ₹857-₹900 per share, down from an original ₹4,900-crore target. The Mumbai-based analytics firm will allocate ₹355 crore—approximately 35% of proceeds—to AI development, research and investments, with remaining funds servicing debt and capital expenditure. The company is focusing resources on its Cogentic platform, which provides AI solutions for invoice-to-cash, customer experience and revenue growth. Fractal aims to expand margins and strengthen its position in healthcare, banking and consumer goods sectors. The IPO's timing benefits from easing US-India trade tensions and improved client spending conditions. The successful pricing may encourage further AI-focused listings in India's public markets.
Enterprise AI solutions unicorn Fractal Analytics has reduced its initial public offering size by 42% to ₹2,834 crore, according to a prospectus filed with SEBI on 2 February. The IPO comprises a fresh issue of ₹1,024 crore and an offer for sale of ₹1,810 crore. Major shareholders Quinag Bidco (managed by Apax Partners), TPG Fett Holdings and GLM Family Trust will sell stakes through the offer. The IPO opens on 9 February and closes on 11 February, with anchor bidding beginning on 6 February. The company had initially filed for an IPO size of ₹4,900 crore. Fractal has been selected by the Indian government to build India's first large reasoning model under the India AI Mission.