Fractal Analytics Inc
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Delhi · On-site · 3-5 Yrs · Oct 18
Business consulting · 1001 to 5000 Employees · New York, US
Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500® companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies. Fractal's businesses include Crux co-pilot (AI driven business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (AI for revenue growth management), Senseforth.ai (conversational AI for customer service) & Flyfish (generative AI for Sales). Fractal incubated Qure.ai, a leading player in healthcare AI for detecting Tuberculosis and Lung cancer. Fractal currently has close to 4500 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work® Institute; featured as a leader in Customer Analytics Service Providers Wave™ 2023, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant™ for data & analytics by Gartner Inc. For more information, visit fractal.ai
Hiring: Engineering
What employees say
+ Healthy Learning work environment Free Breakfast, lunch, snacks
− Senior Management After IPO, it is transforming as service based comapny no any major benefits for employee
More reviews on the company profile.
Interview experience · Data Analyst
They first started with explaining projects then they started going deep into it and then gave sql codes and one dsa code medium level leetvode and then at last asked me do you have any questions to ask
Difficult difficulty · Bengaluru · 718 reports
More interview insightsJob description
Overview
It's fun to work in a company where people truly BELIEVE in what they are doing!
Responsibilities
- Designing, developing, and maintaining data infrastructure and systems.
- Design, develop, and maintain our data infrastructure and systems
- Develop and maintain data pipelines to ingest data, ensure data quality and integrity
- Design and implement data models and database schemas to support business objectives
- Develop and maintain data pipelines to support data processing and analysis
- Partner with cross-functional teams to identify and prioritize data requirements and use cases
- Manage and optimize distributed systems and data storage solutions
- Develop and maintain best practices and standards for data engineering within the organization
Qualifications
- Excited to grow your career?
- We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
- Our people make all the difference in our success.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Senior Azure Data Engineer at Fractal Analytics Inc?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Fractal Analytics Inc may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Azure Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Azure Data Engineer remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Senior Azure Data Engineer role at Fractal Analytics Inc?
- This is a senior Senior Azure Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.