<ul> <li>Extensive relational, dimensional and graph data modeling.</li> <li>Undertake the preprocessing of structured and unstructured data.</li> <li>A good understanding of designing data warehouse in cloud.</li> <li>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</li> <li>Collaborate with engineering and product development teams</li> <li>Deliver on timeline commitments where necessary</li> <li>Build trust and strong relationships at all levels</li> <li>Desirable Qualities:</li> <li>Strike a balance between critical thinking and actual hands-on analyses.</li> <li>Have a keen interest in learning data science while bringing engineering rigor to the team.</li> <li>Research mindset- the ability to structure a project from idea to experimentation to prototype to implementation.</li> <li>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.</li> <li>Be resolute to overcome challenges that will inevitably arise.</li> <li>Qualifications & Experience</li> <li>Required</li> <li>Must have designed, developed, and supported a complex software solution.</li> <li>Proficient in SQL.</li> <li>Good Understanding in dimensional/multidimensional data modeling.</li> <li>Experience with graph, transactional, and operational data modeling is a plus.</li> <li>Familiarity with all stages of the product development cycle. Experience maintaining engineering best practices, including defect tracking, design reviews, and appropriate testing.</li> <li>Hold strong organizational and problem-solving skills.</li> <li>Take a pragmatic, product-oriented approach.</li> <li>Possess the ability to work cross-functionally with minimal supervision.</li> </ul> Preferred