Data Modeler

Description

Data Modeler - Job Description

Role Overview:

The Data Modeler is responsible for designing, developing and managing the data models that support operational, real-time and analytical applications. The Data Modeler will work in a collaborative team environment to assess requirements, define data modelling strategy and deliver solutions.

The Data Modeler must also have a strong hands-on experience in designing business data model (Conceptual Model) aligning and mapping across HL7, FHIR and IBM UDMH with strong Healthcare domain knowledge.

Key Responsibilities:

● Design/Develop/Maintain data models (including Business/Conceptual, Logical and Physical models) that support operational, real-time and analytical applications

● Create optimized data designs that facilitate consistency, reuse and ensure efficient storage and retrieval and limit data duplications

● Developing models in IBM IDA tool

● Use data modeling to create a common language with visual references to describe data and its relationships across business domains

● Design and map business entities/attributes across HL7, FHIR and IBM UDMH

● Design and map logical/physical entities/attributes across HL7, FHIR and IBM UDMH

● Conduct data profiling and analysis to identify data quality issues and propose solutions for data cleansing and enrichment

● Establishes team operational plans, develops/implements new processes, standards, and operational plans that impact results, develops technical roadmaps

● Collaborates with internal and external teams to ensure timely, high quality solutions

● Model/fine tune data models for relational, columnar and no-sql databases

● Perform Source to Target mapping (covering conceptual, logical and physical models)

● Influences others in technical decision-making / technology adoption in assigned domain

● Arrive at solutions including data flow diagrams, process diagrams, use case models as required

Qualification & Skills Required:

● Bachelor’s or Master’s degree preferably in Computer Science or Information Technology or related field

● 10+ years of experience in data and analytical engagements with at least 5 years in data modeling role

● Healthcare domain experience

● Advanced knowledge in data modeling techniques such as Business process Model, Entity Relationship, dimensional modeling, data vault, etc

● Implementation experience in cloud architecture patterns particularly in GCP

● Strong SQL and programming language experience

● Experience in Git, Jira and Confluence tools

● Comprehensive knowledge of agile development methodologies

● Hands on experience in ERWin, IBM IDA tools

● Demonstrated experience modelling for real time applications

● Ability to collaborate across multiple work locations/teams

● Ability to deliver on ambiguous projects with incomplete information

● Advanced verbal / written / presentation skills