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CGS specializes in offering services across several domains, including Cloud computing, Data Centre operations, Networking, Cybersecurity, BI and Data Warehousing, Big Data solutions, and more.
Responsibilities:
- Design and develop data models that support business processes and analytical requirements
- Analyze and understand business needs and processes to create effective data models that enhance data usability
- Create and maintain conceptual, logical, and physical data models, ensuring alignment with the overall enterprise architecture
- Collaborate with IT and business stakeholders to gather requirements and ensure the data model serves its intended purpose effectively
- Implement best practices for data modeling, ensuring compliance with data governance standards and data quality metrics
- Conduct data profiling and data analysis to support data model designs and determine the impact of potential changes
- Participate in data integration efforts and support the implementation of data management practices
- Develop and document data definitions, metadata, and data lineage information for operational and reporting systems
- Work with ETL developers and data engineers to ensure seamless integration and data flow into data warehouses and other analytical platforms
- Support data governance initiatives by providing expertise on data modeling standards and practices
- Continuous learning and keeping up to date with industry trends and advancements in data modeling and management
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Strong experience designing and implementing layered data warehouse architectures (staging, raw, business vault, data marts) aligned with BI and analytics needs
- Proven hands-on experience implementing Data Vault 2.0 (Hubs, Links, Satellites, historization, auditability, traceability)
- Capability to translate business requirements into conceptual, logical, and physical data models
- Strong knowledge of dimensional modeling (star and snowflake schemas)
- Strong understanding of metadata management, data lineage, and data quality principles embedded in modeling design
- Advanced SQL proficiency and hands-on experience with data modeling tools
- Ability to work closely with BI analysts and business stakeholders to support reporting needs
- Ability to contribute to documentation and modeling standards
- Familiarity with BI/reporting tools such as Microsoft Power BI, Tableau, and Looker from a data engineering perspective
- Familiarity with automation frameworks supporting Data Vault generation
- Knowledge of data validation, reconciliation, and quality monitoring techniques
- Exposure to AI-assisted modeling accelerators or metadata-driven automation
- Familiarity with the court of justice domain
- Experience designing models in cloud platforms
Key Skills
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