and retrieval. Design, develop, and optimise data models, data pipelines, and data integration processes understanding of data architecture principles and data modeling concepts. Experience with Hadoop ecosystem and
requirements and architect scalable BI solutions. From data modeling and ETL processes to dashboard development and Responsibilities Include: Designing and developing data models that support business requirements Building and
requirements and architect scalable BI solutions. From data modeling and ETL processes to dashboard development and Responsibilities Include: Designing and developing data models that support business requirements Building and
and maintain scalable data pipelines Optimise data models for ingestion and processing Implement and maintain foundation in Python, SQL Strong experience with data modelling, data governance and cloud infrastructure Knowledge
design of data-related solutions (Data Warehouse, Reports, Tabular Models, etc.) Pro-actively generate and Documenting and refining technical requirements Data modeling requirements Source to target mappings and documentation
architecture and requirements collaboratively. Craft data models and schemas tailored to meet business objectives data architecture principles. Expertise in data modelling and database design. Understanding of data
administration, including tasks like database design, data modeling, and performance tuning, is highly valuable
Skill -Task Management -Adobe Creative Suite -Data modelling and evaluation -Computer Technology Skills
modules and SAC functionalities, including data modelling, reporting, and analytics. Proficiency in data data analysis, visualization, and reporting tools. Familiarity with business process modelling techniques
analyses; feature engineering, data preparation, development of statistical models, strategy development, monitoring