Job Description

Job Title : Data Modeler Developer/Designer

Client: NYC Health and Hospitals Corporation

Location: New York, NY (Fully Remote).

Duration: 20+ Months

PROJECT DESCRIPTION:

New York City Health and Hospitals Corporation (NYC Health + Hospitals) is an integrated health care system of hospitals, neighborhood health centers, long-term care, nursing homes and home care the public safety net health care system of New York City. NYC Health + Hospitals is committed to the health and well-being of all New Yorkers, and we offer a wide range of high quality and affordable health care services to keep our patients healthy and to address the needs of New York City's diverse populations.

POSITION DESCRIPTION:

The Data Modeler Developer is primarily responsible for the design, implementation and maintenance of data models to support the needs of data warehouses and data marts. The position is responsible for recommending and adopting best practices to ensure high data quality standards, repeatability and scalability of data models are designed and maintained and data redundancy is reduced.

General tasks and responsibilities will include:

Key Responsibilities:

• Understand and translate business needs into data models to satisfy enterprise analytics & reporting needs.
• Work with the team to design and implement data strategies, build data flows and develop conceptual, logical and physical data models.
• Create and maintain conceptual, logical, and physical data models, along with corresponding metadata, according to enterprise standards using the Erwin tool.
• Dimensional Modeling Design: Design and develop efficient dimensional models (star schema, snowflake schema) for large-scale data warehouses, ensuring that data structures support analytical and reporting requirements.
• Fact and Dimension Table Design: Design and maintain fact tables, dimension tables, and their relationships, ensuring the correct granularity and historical data management for accurate reporting and analytics.
• Strong Data Analysis, SQL Querying, Data Profiling & Healthcare Domain Knowledge: Leverage advanced data analysis techniques, SQL querying, and data profiling to identify trends, patterns, and data anomalies. Strong knowledge of the healthcare domain is preferred to understand the specific data requirements, workflows, and standards in healthcare system.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Validate business data objects for accuracy and completeness.
• Analyze data-related system integration challenges and propose appropriate solutions.

Mandatory Qualifications: ALL CANDIDATES MUST MEET ALL 5 of these qualifications and be documented in resume,

• A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and
• Five (5) + years of progressive, responsible experience in the field of data processing, computer systems, and applications.
• Operations Specialty requires supervisory experience (5 + years).
• Network Services requires a telecommunications background and experience.
• Broad knowledge and expertise in the characteristics of computers, peripheral devices, communications systems and hardware capabilities, programming languages, E.D.P. applications, systems analysis methodology, data management and retrieval techniques; or

Best Regards,

Ibraheem Mohammad

Momento USA | Exceeding Customer Expectations

Email: [email protected]

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Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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