About Fractal
What makes Fractal a GREAT fit for you? When you join Fractal, youll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. Were a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision.
Our people enjoy a collaborative work environment, exceptional training and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4 / 5 and achieve customer NPS of 9/ 10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you.  

Role Brief:
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.

Responsibilities:

  • 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

Qualifications & Experience

  • A bachelor’s degree in Computer Science or related field with 3-10 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:
  1. Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET)
  2. Database programming using any flavours of SQL
  3. Expertise in relational and dimensional modelling, including big data technologies
  4. Exposure across all the SDLC process, including testing and deployment
  5. 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.
  6. Good knowledge of Python and Spark are required
  7. Good understanding of how to enable analytics using cloud technology and ML Ops
  8. 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

Education Qualification:B.E / B.Tech, BCA, MCA equivalent
Location: Bengaluru / Mumbai / Gurgaon

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