Azure Data Engineer

Reposted 8 Days Ago
5 Locations
In-Office
Senior level
Artificial Intelligence • Consulting
The Role
As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.
Summary Generated by Built In

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.

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

QUALIFICATIONS:

  • A bachelor’s 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

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

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Skills Required

  • A bachelor's degree in Computer Science or related field
  • 6-10 years of technology experience
  • Strong experience in System Integration or Data-Warehouse projects
  • Software development experience using Object-oriented languages such as Python
  • Expertise in Microsoft Azure and components
  • Good knowledge of Python and Spark
  • Experience in Azure Infrastructure and Azure Dev Ops

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

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The Company
HQ: New York, NY
5,262 Employees

What We Do

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 brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence 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 & Samya.ai to drive next-generation Enterprise Revenue Growth Management. 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.

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