Description
- 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