Fullstack Architect

About Fractal:

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Job Description:

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 a Data Engineer -Azure, you will work in 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

Team handling, problem solving, project management and communication skills & creative thinking

Qualification:

A bachelors degree in Computer Science or related field with 6-10 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: Object-oriented languages (e.g. Python, PySpark,) and frameworks

Database programming using any flavours of SQL

Expertise in relational and dimensional modelling, including big data technologies

Exposure across all the SDLC process, including testing and deployment

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.

Good knowledge of Python and Spark are required

Good understanding of how to enable analytics using cloud technology and ML Ops

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 : B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent