Full Stack Engineer

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Brief about Fractal & Team:

Founded in 2000, Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process.

Fractal has more than 1,200 consultants spread across 15 global locations including the United States, UK, and India. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2017 by Forrester Research, a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

As an Engineer, you will be working with the Technology team that helps deliver our AI/ML and Analytics offerings at scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services across Fractal.


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 2 years of programming 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. Java, C#, C++) and frameworks (e.g. J2EE or .NET), and
Database programming using any flavor of SQL
Expertise in relational and dimensional modeling
Exposure across all the SDLC phases, including testing and deployment
Experience in any AI/ML frameworks such as R, Python or SparkML would be a 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, AWS or GCP)
Characteristics of a forward thinker and self-starter that flourishes with new challenges and adapts quickly to learning new knowledge
Ability to work with a global team of consulting professionals across multiple projects
A 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

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