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.