HM - Data Modeller
HM - Data Modeller
Posted on :
06-02-2024
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
06-02-2024
Job Description
Req ID : 2512024
Responsibilities:
Logical Data Modeling: Develop and maintain logical data models using best practices ensuring accuracy and efficiency in the representation of complex business requirements.
Tool Proficiency: Demonstrate expertise in utilizing Snowflake and Erwin modeling tools for logical data modeling tasks ensuring seamless collaboration and efficient workflow.
Dimensional Modeling: Design and implement dimensional models to support business intelligence and analytical reporting needs optimizing data structures for performance and query efficiency.
Conceptual Modeling: Translate highlevel business requirements into conceptual models ensuring alignment between business objectives and data architecture.
Physical Data Model Creation: Collaborate with database administrators and engineers to translate logical and conceptual models into efficient physical data models optimizing database performance and storage utilization.
Data Integrity: Ensure data integrity and accuracy within logical and physical data models implementing validation techniques and data governance best practices.
Documentation: Create comprehensive documentation for all data models including entityrelationship diagrams data dictionaries and metadata definitions ensuring clear communication and understanding among stakeholders.
Collaboration: Collaborate effectively with crossfunctional teams including business analysts developers and architects to gather requirements resolve issues and ensure the successful implementation of data models.
Requirements:
Bachelor s or Master s degree in Computer Science Information Systems or a related field.
Proven experience in logical data modeling using Snowflake and Erwin modeling tools.
Strong understanding of dimensional modeling conceptual modeling and physical data model creation.
Proficiency in SQL and database query optimization techniques.
Excellent analytical and problemsolving skills with attention to detail.
Strong communication and interpersonal skills with the ability to explain complex technical concepts to nontechnical stakeholders.
Experience working in agile environments and ability to adapt to changing requirements.
Knowledge of data governance principles and best practices is a plus.
communication skills,physical data model creation,problem-solving skills,tool proficiency,conceptual modeling,snowflake,database query optimization,interpersonal skills,data governance,analytical skills,sql,logical data modeling,dimensional modeling,agile environment,erwin modeling,collaboration,documentation,data modeling,data integrity,data modeler
Employment Type
Full Time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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