Required Skills

Data Architect

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 15th May 2023

JOB DETAIL


• Proficient in SQL.
• Proficient 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.
• 7+ years of experience in application or data      development
• 7+ years of experience in at least one scripting language (Python, Perl, JavaScript, Shell)
• 4+ years of experience working on streaming data applications
• 5+ years of experience with Agile engineering practices
• 5+ years of experience developing Java-based software solutions, scripting and OOP languages
• 5+ years of experience with UNIX/Linux, including basic commands and shell scripting
• 4+ years of experience with GCP
• 4+ years of experience with Ansible / Terraform
• 3+ years in the healthcare industry and knowledge of their business practices.

Responsibilities
• Stitch and normalize sparse and noisy data across various data sources.
• Undertake the preprocessing of structured and unstructured data
• Design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems
• Utilize programming languages like Python, Java, and Open Source RDBMS and cloud-based data warehousing services such as Aurora or Big Query
• 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

Company Information