Description

Responsibilities
 

  • Extensive relational, dimensional and graph data modeling.
  • Undertake the preprocessing of structured and unstructured data.
  • A good understanding of designing data warehouse in cloud.
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with engineering and product development teams
  • Deliver on timeline commitments where necessary
  • Build trust and strong relationships at all levels


Desirable Qualities:
 

  • Strike a balance between critical thinking and actual hands-on analyses.
  • Have a keen interest in learning data science while bringing engineering rigor to the team.
  • Research mindset- the ability to structure a project from idea to experimentation to prototype to implementation.
  • Be a driven and focused self-starter, great communicator, with exceptional follow-through. You aggressively tackle work and love the responsibility of being individually empowered.
  • Be resolute to overcome challenges that will inevitably arise.


Qualifications & Experience Required :
 

  • Must have designed, developed, and supported a complex software solution.
  • Proficient in SQL.
  • Good Understanding in dimensional/multidimensional data modeling.
  • Experience with graph, transactional, and operational data modeling is a plus.
  • Familiarity with all stages of the product development cycle. Experience maintaining engineering best practices, including defect tracking, design reviews, and appropriate testing.
  • Hold strong organizational and problem-solving skills.
  • Take a pragmatic, product-oriented approach.
  • Possess the ability to work cross-functionally with minimal supervision.
  • Preferred
  • B.S. in Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or similar quantitative fields/work experience.
  • Experience with cloud environments
  • 7+ years of experience in data modeling.
  • 3-7+ years of experience in at least one scripting language (Python, Perl, JavaScript, Shell)
  • 2+ years of experience working on streaming data applications
  • 3+ years of experience with Agile engineering practices
  • 3+ years of experience developing Java-based software solutions, scripting and OOP languages
  • 3+ years of experience with UNIX/Linux, including basic commands and shell scripting
  • 2+ years of experience with GCP
  • 1+ years in the healthcare industry and knowledge of their business practices.


 

Education

Bachelor's degree