Job Description :

Azure Data Engineer (Hybrid)

You’ll be part of the team working primarily for enterprise clients with a strong focus on Microsoft technologies. You’ll be developing end-to-end cloud-based data applications using the Azure technology stack, always striving to abstract complexity away from the end user of your data products.

As a Cloud Data Engineer, you’ll get experience from enterprise companies’ environments, help them to implement their needs.

You will have the possibility to:

  • Application development using Microsoft’s Azure platform
  • Development of integrations and workflow automation 
  • Work in a developer-first agile environment, participating in end-to-end decision making
  • Get a deep technology understanding, possibilities of customizations, configurations, integration possibilities, limitations, and constraints
  • Build your career as a technical expert in Azure technologies and Agile development
  • Create and maintain documentation, timely and detailed ticket updates and communications around work

What we are looking for:

  • Strong experience with Azure Data Factory and Databricks (integrated with source control)
  • Experience with Azure Synapse 
  • Prior experience required using Spark (any language), including Spark SQL, debugging pipelines and performance issues
  • Experience managing a custom code base, building automated pipelines around code repositories and debugging deployment issues 
  • Experience with DevOps tools (Azure Pipelines, repos, git, etc..)
  • Experience templating pipeline deployments (creating generic pipelines that receive instructions on how to move data) on any platform (on-prem, SQL, Hadoop, etc…) 
  • Analytical, problem-solving and communication skills

Nice to have: 

  • A degree in Computer Science or related area
  • Ansible knowledge 
  • Experience writing API wrappers for a Spark backend
  • Azure Certifications 
  • Experience integrating a Lo- / No-code development platform experience
  • Experience working with distributed teams.
             

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