Fractal

Azure Data Engineer

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.

Azure Architect

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal’s mission is to power every human decision in the enterprise and uses the power of AI to help the worlds most admired Fortune 500 companies. Fractal’s products include Qure.ai to assist radiologists make better diagnostic decisions, Cuddle.ai to assists CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions and Eugenie.ai to find anomalies in high velocity data. Fractal has consistently been rated as India’s best companies to work for, by The Great Place to Work Institute.

Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an Honorable Vendor in 2021 Magic Quadrant™ for data & analytics by Gartner.

  • 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 a Senior 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


Qualifications & Experience

  • A bachelor’s degree in Computer Science or related field with 5-10 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
  • 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 DataBricks Azure Data Factory, Azure Data Lake Storage, Azure SQL, 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


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

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