Title- Data Modeler,
Client-Cardinal Health ,
Visa-USC,GC,(on W2) and GC-EAD,H4-EAD(C2C) ,
Location-100% Remote ,
Duration-6+ Months ,
Rate -$70-75Notes-
- The data modeler is a key position for the team.
- This person must be well-versed with data mapping and key requirements gathering.
- Experience with GCP is required.
- This person needs to have experience with data profiling and working with the different data layers.
- As an example, this person may be working with a layer for shipment tracking, which can include 100 data tables. This is just one layer of the business, however.
- This person will be working with all legacy datathey won't be doing anything new. They need to be able to 'reverse engineer' existing data.
- health care experience in must
DATA MODELER ROLE PROFILE
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.