Hiring: W2 Candidates Only
Visa:Open to any visa typewith valid work authorization in the USA
REQUIRED SKILLS:
The Data Modeler / Architect can design develop and implement data models and data lake architecture to provide reliable and scalable applications and systems to meet the organizations objectives and requirements. The Data Modeler is familiar with a variety of database technologies environments concepts methodologies practices and procedures.
Demonstrable advanced experience with data profiling analysis and design developing and documenting information domain models data structures objects attributes relationships and integrity rules
Experience with logical and physical data modeling including use of tools like ErWin or similar.
Experience managing metadata data dictionaries and technical documentation
Experience with analyzing and translating business requirements and use cases into optimized models data flows and developing database solutions
Experience with and knowledge of relational databases entity relationships data warehousing facts dimensions and star schema concepts and terminology
Strong proficiency with SQL Server T-SQL SSIS stored procedures ELT processes scripts and complex queries
Working knowledge of Azure Databricks Delta Lake Synapse and Python
Experience with evaluating implemented data systems for variances discrepancies and efficiency
Experience with Azure DevOps and Agile / Scrum development methods
Auditing databases to maintain quality and creating systems to keep data secure
Demonstrable ability to communicate and document clearly and concisely
Ability to balance work between multiple projects and possess good organizational skills with minimal or no direct supervision
Ability to work collaboratively and effectively with colleagues and as a member of a team
Ability to present complex technical concepts and data to a varied audience effectively.
More than 10 years of relevant experience
4-year college degree in computer science or related field with advanced study preferred.
PREFERRED EXPERIENCE:
Experience working in the public health or healthcare industry with various health data sets.
| Skill | Required / Desired | | |
| Experience with logical and physical data modeling including use of tools like ErWin or similar. | Required | | |
| Experience managing metadata data dictionaries and technical documentation | Required | | |
| Strong proficiency with SQL Server T-SQL SSIS stored procedures ELT processes scripts and complex queries | Required | | |
| Working knowledge of Azure Databricks Delta Lake Synapse and Python | Required | | |
| Experience with Azure DevOps and Agile / Scrum development methods | Required | | |
| Auditing databases to maintain quality and creating systems to keep data secure | Required | | |
| Experience working in the public health or healthcare industry with various health data sets. | Nice to have | | |
| 4-year college degree in computer science or related field with advanced study preferred. | Nice to have | | |
Hiring: W2 Candidates Only Visa:Open to any visa typewith valid work authorization in the USA REQUIRED SKILLS: The Data Modeler / Architect can design develop and implement data models and data lake architecture to provide reliable and scalable applications and systems to meet the organizations ob...
Hiring: W2 Candidates Only
Visa:Open to any visa typewith valid work authorization in the USA
REQUIRED SKILLS:
The Data Modeler / Architect can design develop and implement data models and data lake architecture to provide reliable and scalable applications and systems to meet the organizations objectives and requirements. The Data Modeler is familiar with a variety of database technologies environments concepts methodologies practices and procedures.
Demonstrable advanced experience with data profiling analysis and design developing and documenting information domain models data structures objects attributes relationships and integrity rules
Experience with logical and physical data modeling including use of tools like ErWin or similar.
Experience managing metadata data dictionaries and technical documentation
Experience with analyzing and translating business requirements and use cases into optimized models data flows and developing database solutions
Experience with and knowledge of relational databases entity relationships data warehousing facts dimensions and star schema concepts and terminology
Strong proficiency with SQL Server T-SQL SSIS stored procedures ELT processes scripts and complex queries
Working knowledge of Azure Databricks Delta Lake Synapse and Python
Experience with evaluating implemented data systems for variances discrepancies and efficiency
Experience with Azure DevOps and Agile / Scrum development methods
Auditing databases to maintain quality and creating systems to keep data secure
Demonstrable ability to communicate and document clearly and concisely
Ability to balance work between multiple projects and possess good organizational skills with minimal or no direct supervision
Ability to work collaboratively and effectively with colleagues and as a member of a team
Ability to present complex technical concepts and data to a varied audience effectively.
More than 10 years of relevant experience
4-year college degree in computer science or related field with advanced study preferred.
PREFERRED EXPERIENCE:
Experience working in the public health or healthcare industry with various health data sets.
| Skill | Required / Desired | | |
| Experience with logical and physical data modeling including use of tools like ErWin or similar. | Required | | |
| Experience managing metadata data dictionaries and technical documentation | Required | | |
| Strong proficiency with SQL Server T-SQL SSIS stored procedures ELT processes scripts and complex queries | Required | | |
| Working knowledge of Azure Databricks Delta Lake Synapse and Python | Required | | |
| Experience with Azure DevOps and Agile / Scrum development methods | Required | | |
| Auditing databases to maintain quality and creating systems to keep data secure | Required | | |
| Experience working in the public health or healthcare industry with various health data sets. | Nice to have | | |
| 4-year college degree in computer science or related field with advanced study preferred. | Nice to have | | |
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