Data Modeler
Taguig, National Capital Region
Posted 11 days ago
- Company:
- Hunter's Hub, Inc.
- Company Description:
- Hunter’s Hub Incorporated is a Sourcing and Headhunting company that was founded earlier on in the year 2018. The company prides itself in its ability to source and recruit only the best and brightest of each industry. Hunter’s Hub caters to numerous clients in a multitude of industries, and has a wide-range of candidate selections to suit any of our clients’ needs. Likewise, the company specialises in sourcing out highly skilled and multi-talented IT professionals because the company mostly caters to clients being widely known to be in the IT industry.
- Contract Type:
- Full Time
- Experience Required:
- 3 to 4 years
- Education Level:
- Bachelor’s Degree
- Gender:
- Any
- Number of vacancies:
- 3
Job Description
Competencies:
• Technical Expertise: Mastery of data architecture principles, methodologies, and technologies.
• Problem Solving: Ability to tackle complex technical challenges related to data management and architecture.
• Data Modelling: Proficiency in designing and maintaining data models that align with organizational needs.
• Subject Matter Expertise: Deep knowledge in specific data domains or technologies (e.g., big data, cloud platforms).
• Documentation: Skills in maintaining comprehensive data architecture documentation, including data dictionaries, metadata and lineage
Job Description:
Responsibilities of this position will include but will not be limited to the following:
• Data Modeling: Develop and maintain complex data models, ensuring data structures align with requirements and data standards.
• Database Design: Design and optimize database schemas, focusing on performance, scalability, and data integrity.
• Data Analysis: Analyze data requirements and work closely with data users to design efficient data storage and processing solutions.
• Problem Solving: Address complex data-related issues and challenges, finding innovative and human-centric solutions.
• Documentation: Maintain comprehensive documentation of data architecture, including data dictionaries, metadata and data lineage.