Description
You will design and develop data models to support business requirements, ensuring data consistency, quality, and accuracy.
Responsibilities
- Design conceptual, logical, and physical data models to meet business needs.
- Utilize DRB methodologies to create and maintain comprehensive data resource books.
- Develop and optimize database schemas, including normalization, indexing, and partitioning.
- Collaborate with business analysts and stakeholders to translate requirements into effective data models.
- Support ETL processes and data integration initiatives to ensure integrity across systems.
Required Skills
- 15+ years of experience in data modelling, database design, and data management.
- Expertise in conceptual, logical, and physical data modelling.
- Strong experience with DRB (Data Resource Book) methodologies and tools.
- Advanced SQL skills for querying and managing databases.
- Proficiency with data modelling tools such as Erwin or IBM InfoSphere Data Architect.
- Deep understanding of data warehousing concepts and ETL processes.
- Knowledge of data governance, data management, and data engineering.
- Experience with cloud platforms including AWS, GCP, or Azure.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Preferred Skills
- Familiarity with Big Data technologies including Hadoop, Spark, and NoSQL databases.
- Master's degree in a related technical field.