Fractal is hiring for Off Campus – Imagineer (Hiring Women in Tech) | Apply now

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Role :Off Campus - Imagineer (Hiring Women in Tech)

Location :Bengaluru ,Pune ,Mumbai ,Chennai ,Gurgaon

About the company and role

Fractal is a leading company committed to Company’s mission or purpose. We are seeking a highly motivated Off Campus - Imagineer (Hiring Women in Tech) to join our team in Bengaluru ,Pune ,Mumbai ,Chennai ,Gurgaon. In this role, you will be responsible for described the primary responsibilities below please have a look. We are looking for individuals with a strong background in Relevant skills or experience mentioned bellow, excellent problem-solving abilities, and a passion for Industry/Fied. If you are a talented and dedicated professional who thrives in a fast-paced environment, we encourage you to apply.

Job Description

The Imagineer program is a dynamic initiative providing participants with diverse projects and exposure to the entire business value chain. This immersive experience allows for experimentation across four distinct career tracks: Data Visualization, Decision Science, Data Science, and Data Engineering, all focused on solving complex, large-scale problems. The program offers opportunities to develop skills and gain experience in various aspects of data analysis and problem-solving within a collaborative and supportive environment. The program emphasizes practical application and real-world experience in handling data-driven challenges.

Company Name Fractal
Role Off Campus - Imagineer (Hiring Women in Tech)
Location Bengaluru ,Pune ,Mumbai ,Chennai ,Gurgaon
Salary As per Company norms
Job Type Full time

Responsibilities

  • This program begins with a comprehensive pre-boarding program designed to build a broad foundation of data-related knowledge, ensuring participants are fully prepared for their roles at Fractal. Your specific career track (Information Architecture, Data Engineering, Data Science, or Decision Sciences) will be determined based on your performance in the pre-boarding program and current business needs. A general overview of Imagineer responsibilities within each track is detailed below:
  • Data Visualization (Information Architecture): Contribute innovative and impactful insights to Fortune 500 clients through predictive analytics and visually compelling storytelling. Responsibilities include understanding business needs, designing and implementing solutions, deploying BI tools, extracting key insights from data, creating impactful automations and innovative solutions, managing projects end-to-end, meticulously documenting processes, and enhancing operational efficiency under guidance.
  • Data Engineering: Collaborate within a team delivering large-scale data engineering solutions to Fortune 500 clients globally. Responsibilities include learning and implementing best-in-class engineering principles to construct data pipelines for analytical insights using both cloud-native and cloud-agnostic stacks (encompassing all major cloud services, and open-source tools like Python and Pyspark). You will be building data pipelines for structured and unstructured data, for both real-time and batch processing systems. You will build composable data solutions leveraging service-oriented and microservices architectures, real-time solutions using digital and IoT data, lake houses and warehouses, and next-generation warehouse solutions leveraging knowledge graphs.
  • Data Science: Work independently on statistical and machine learning research projects. This involves understanding problem statements, developing and implementing analytical solutions, conducting research and prototyping innovative approaches, gathering data and requirements, designing solutions and architectures, consulting with clients and client-facing teams on advanced statistical and machine learning challenges, and collaborating with engineering and product development teams to implement models and monitor results.
  • Decision Sciences: Effectively communicate with clients to thoroughly understand their business requirements. Work with substantial, complex datasets to solve challenging, non-routine analytical problems, employing advanced analytical methods as needed. Build data pipelines and dashboards for marketers to access data independently, enabling automated tracking of marketing campaigns. Harmonize data and build models based on defined business logic. Utilize statistical tools to identify and analyze relationships between data fields, interpret results, and determine appropriate next steps.

Education Qualification

  • Year of Graduation: 2025
  • Minimum CGPA: 7.0 (or equivalent) for B.Tech and MCA graduates; 6.5 (or equivalent) for BSc and BCA graduates. This CGPA requirement applies to all academic transcripts.
  • No active academic backlogs are permitted.
  • Eligible Branches: B.Tech (Computer Science, Information Technology, Electrical and Electronics Engineering, Electronics and Communication Engineering), B.Sc (Information Technology, Computer Science, Statistics, Mathematics, Economics), MCA, BCA

Skills

  • Skills required will align with the responsibilities outlined above for each career track.

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