Data Modeling Techniques And Methodologies

Summary:
As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components.
Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Roles & Responsibilities:
- Assist with the blueprint and design of the data platform components.
- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
- Develop and maintain data models, data processes, and data migration strategies.
- Design and implement data security and data privacy measures.
- Ensure data quality and integrity by implementing data validation and testing procedures.
Professional & Technical Skills:
- Required Skill: Expertise in Data Modeling Techniques and Methodologies.
- Strong understanding of data integration and data architecture principles.
- Experience with data migration strategies and data quality assurance.
- Proficiency in SQL and database management systems.
- Experience with data security and data privacy measures.
Additional Information:
- The candidate should have at least 5 years of experience in Data Modeling Techniques and Methodologies.
- The ideal candidate will possess a strong educational background in Computer Science, Information Technology, or a related field.