Senior Data Engineer

SUMMARY:

 

Our client in the financial market space is looking for an experienced Senior Data Engineer with the following skills and experience:

• Agile methodology: Comfortable following a strictly agile methodology, including sprints, backlog grooming, and stand-up meetings.
• Leadership: Able...
  
  

  POSITION INFO:
  

   

  Our client in the financial market space is looking for an experienced Senior Data Engineer with the following skills and experience:

  • Agile methodology: Comfortable following a strictly agile methodology, including sprints, backlog grooming, and stand-up meetings.
  • Leadership: Able to take on additional senior data engineering leadership responsibilities, such as mentoring junior engineers and leading projects.
  • Financial industry experience: Leverages their financial industry experience to build modern, secure, and scalable solutions that meet the needs of clients and partners.
  • Microsoft Azure: Uses and develops cost-effective, right-sized solutions and services within Microsoft Azure's cloud platform to meet platform needs.
  • Data Vault: Experience with or understanding of Data Vault modeling, architecture, and processes.
  • Data governance: Working knowledge and a good understanding of data governance and associated services, such as Purview.
  • Design, build, and maintain data pipelines and infrastructure to support the efficient processing, storage, and analysis of a diverse range of data types and sources.
  • Develop and implement data models and solutions that meet the specific needs of the finance industry.
  • Ensure that data pipelines and infrastructure are secure, scalable, and performant.
  • Work with data scientists and other stakeholders to understand their data needs and develop solutions to meet those needs.
  • Mentor and train junior data engineers and other team members.
  • Stay up-to-date on the latest data engineering technologies and trends.
  • Education: Bachelor's degree in computer science, data science, or a related field.
  • Experience: 10+ years of experience in data/technology.
  • Technical skills: Experience using Python and SQL.
  • Azure certifications: Azure Data Engineer certification or Azure DevOps Engineer certification (preferred).
  • Business acumen/ critical thinking
  • Stakeholder Commitment
  • Drive for Results
  • Leads change and innovation
  • Collaboration
  • Impact and Influence
  • Self-awareness and insight
  • Diversity and inclusiveness
  
  
  

   

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