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Fractal

Data Engineer

Fractal

Data Engineer role building advanced cloud solutions at a leading analytics firm. Collaborate globally on projects while leveraging strong skills in Azure and software development.

Posted 5/15/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudPySparkPythonSDLCSparkSQL

About the role

Key responsibilities & impact
  • Collaborating with global teams on advanced cloud-based solutions
  • Architecting advanced cloud solutions and launching their build-out
  • Educating and training team members on application architectures and integration approaches
  • Involvement in the complete SDLC process including testing and deployment
  • Contributing to deep architecture discussions around systems and applications in the cloud

Requirements

What you’ll need
  • A bachelor’s degree in computer science or related field with 4-8 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

Benefits

Comp & perks
  • Health insurance
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Hard Skills & Tools
PythonPySparkSQLrelational modellingdimensional modellingbig data technologiesMicrosoft AzureAzure Data FactoryAzure Data Lake StorageAzure SQL
Soft Skills
collaborationeducationtrainingforward thinkerself-starterglobal teamworkcommunicationproblem-solvingadaptabilityleadership