Data Engineer, Data Scientist, or Decision Scientist

Fractal • India
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AI Summary

Join Fractal's Imagineer program for a dynamic experience with various projects and exposure to the business value chain. As a future leader, you'll work on scaled problem-solving in Data Visualization, Decision Science, Data Science, or Data Engineering. Eligibility criteria include a 2026 passing year, 7 CGPA, and no active backlogs.

Key Highlights
Dynamic program with various projects
Exposure to business value chain
Scaled problem-solving in Data Visualization, Decision Science, Data Science, or Data Engineering
Key Responsibilities
Work with a team to deliver Data Engineering offerings
Learn and implement engineering principles to build data pipelines
Conduct research and prototyping innovations
Collaborate with different functional teams to implement models and monitor outcomes
Technical Skills Required
Cloud native stacks Cloud agnostic stacks Python Pyspark Data pipelines Services oriented architecture Microservices architecture Digital and IOT data Lakehouses and Warehouses Knowledge graphs
Benefits & Perks
Insurance Benefits
Relocation Benefits
Gratuity over & above CTC
Employee Assistance Program
Wellness Workshops
Learning & Growth Opportunities
Hybrid Work Environment
Shuttle & Cab services to office
Unlimited free breakfast, lunch & snacks

Job Description


It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Campus program: Imagineer

Imagineer would go through a dynamic program offering them a variety of projects with exposure to business value chain. This will give them an opportunity to experiment within our 4 career tracks namely –Data Visualization, Decision Science, Data Science & Data Engineer for scaled problem solving.

Join us if you want to be a future leader and if you want a career & not a job.

Eligibility Criteria:

  • 2026 year of passing
  • 7 CGPA (or equivalent) & above across all academics
  • Candidate must have no active backlogs.
  • Eligible Branches: B.Tech (Circuit branches - CS, IT, EEE, ECE, AI, Data Sci) & MSc/MA - Eco/Stats


Evaluation Process:

  • Resume Screening
  • Aptitude + Coding Test - 90mins
  • 3 rounds of interview (Tech/Apex (Managerial round)/HR)
  • each round is an elimination round


Please note that any referred candidate who does not meet our eligibility criteria will not be considered for further evaluation. Shortlisted candidates will receive direct communication regarding the next steps.

Compensation: Communication will be sent directly to shortlisted candidates.

Joining location: Mumbai/Bengaluru/Gurgaon/Chennai/Pune/Noida

Joining month: Aug-Oct '26

Role:

Job Description:

Imagineer would go through a dynamic program offering them variety of projects with exposure to business value chain. This is an opportunity to become a future leader.

As a Part Of The Program, You Will Undergo Pre-boarding Program That Focuses On Building Breadth Of Knowledge In All Aspects Of Data To Make You Fractal Ready. Your Performance In This Program And Business Need Will Determine Your Career Track (Data Engineering, Data Sciences, & Decision Science). Generic Understanding Of Your Role As An Imagineer In Each Track Is As Follows:

Data Engineering: Work with a team that helps deliver our Data Engineering offerings at a large scale to our Fortune 500 clients worldwide.

  • Learn and implement the best of engineering principles to build data pipelines to drive analytical insights leveraging Cloud native stacks and Cloud agnostic stacks (All of cloud services for each of the clouds, Open-source stack like Python, Pyspark etc.)
  • Build data pipelines for both structured and unstructured data for real-time and batch-oriented systems
  • Build composition-based data solutions leveraging Services oriented and Microservices architecture
  • Build real-time solutions leveraging Digital and IOT data
  • Build Lakehouses and Warehouses
  • Develop next generation warehouse solutions using Knowledge graphs


Data Science: the capability to work on independent statistical and machine learning research/projects

  • Ability to understand a problem statement and implement analytical solutions & techniques independently
  • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems.
  • Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.


Decision Sciences:

  • Communicating with the clients and understand their business needs
  • Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
  • Build data pipelines, and dashboards for marketers to self-serve data needs; enable automated tracking of marketing campaigns
  • Harmonize data as required and setup models according to the business logic defined
  • Use statistical tools to identify and evaluate the relationships between data fields, analyse output and determine the next action


Data Visualization:

Deliver insight, innovation, and impact to our Fortune 500 clients through predictive analytics and visual storytelling.

  • Understand business requirements and address them with conceptualizing and designing of solutions
  • Learn and deploy BI solutions with minimal guidance (post training)
  • Drive insights from data
  • Deliver impact with automations & innovations
  • End to end ownership of delivery
  • Rigorous documentation & drive operational efficiency with guidance


Perks & Benefits:

  • Top performers of the batch would be eligible for 100% sponsorship to PG programs with premier B- schools in India
  • Insurance Benefits, Relocation Benefits, Gratuity over & above CTC, Employee Assistance Program, Wellness Workshops, Learning & Growth Opportunities
  • Hybrid Work Environment
  • Shuttle & Cab services to office (select locations only)
  • Unlimited free breakfast, lunch & snacks across our offices


If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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