Data Engineer

Why join DataNimbus:

At DataNimbus, we are committed to pushing the boundaries of what is possible in the world of payments. Our forward-thinking solutions pave the way for a smarter and more agile future. Collaborate with a dynamic team of experts and work on groundbreaking projects that shape the future of digital commerce. Embrace the future of payments modernization and become a catalyst for change with us.

Our core values of Creative Solutioning, People First, Collaboration, and Transparency form the foundation of our vibrant and inclusive work culture. We believe in providing strong learning and growth opportunities to all our team members, making it an ideal place for anyone joining the company.

 

What do we want you to do:

  • Guide customers as they implement transformational big data projects, including
    end-to-end development and deployment of industry-leading big data and AI applications
  • Assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
  • Facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
  • Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
  • Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
  • Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
  • Provide experience to the consulting team, provide best practices in client engagement to other teams

 

What would help make your case:

  • Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent practical experience.
  • 2+ years experience in Databricks, data engineering, data platforms & analytics
  • Must have a Databricks Data Engineer Associate Level Certification.
  • Comfortable writing code in both Python and SQL
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP)
  • Experience in building scalable streaming and batch solutions using cloud-native components
  • Strong knowledge of distributed computing with Spark

 

People skills to have –

○ You have to put people, their real needs and experiences first.
○ You must listen first and then act. Patience is a key virtue for this role.
○ You must communicate clearly and effectively – both in verbal and written.
○ You must be able to think on your feet and rapidly learn new technologies and
skills.

Job Details

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