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Azure Data Engineer

Key Facts

Remote From: 
Fixed term
English

Other Skills

  • •
    Logical Reasoning
  • •
    Problem Solving

Roles & Responsibilities

  • Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, or Engineering.
  • Experience with automation related to deployment and recovery processes.
  • Proficiency in Azure, SQL, Power BI, Snowflake, and Azure Data Factory.
  • Strong problem-solving skills with experience in resilience modeling and service outage simulations.

Requirements:

  • Translate customer and technical requirements into service architecture.
  • Lead and represent the service in backlog discussions and standups.
  • Leverage data and metrics to inform decisions and prioritize tasks.
  • Automate deployment, recovery, and manual processes to improve system resilience.

Job description

Azure Data Engineer.
7 months + possibility of extensions
Location: Remote, Core PST hours
Must Haves & Top 3 Ranked:
Data Engineer ,Azure ,SQL ,PBI ,Snowflake ,Azure Data Factory.

Job Description Below:

  • Bachelors Degree in Computer Engineering, Computer Science, Mathematics, Engineering.
  • Experience in automation, specifically related to deployment, recovery, or other manual processes.
  • Experience with ntier solutions.
  • Experience with resilience modeling (failure mode analysis) and ability to simulate service outages for point solutions (automated) and platforms (manually).
  • Experience influencing software engineering team members in translating customer and technical requirements into service architecture to meet Quality of Service Expectations.
  • Experience leading and representing the Service in backlog discussions and standups to establish appropriate prioritization of Live Site requirements.
  • Good experience leveraging data and metrics to drive behavior, process, and priority decisions. Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems. Experience in problem solving using systematic procedures and investigating problems utilizing root cause analysis.

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