continuous improvement efforts. Design and develop data models, ETL processes, and pipelines to support data documentation for data models, data lineage, and data flow. Design and develop data models, ETL processes data. Develop and maintain documentation for data models, data lineage, and data flow. Qualifications Analysis, Data Analytics, DATABASICS, Data Lake, Data Modeling, Data Structures, Unstructured Data Senior Data
security regulations and API integrations. Craft data models and schemas tailored to meet business objectives
onwards . Knowledge and experience of data warehouse modelling methodologies Microsoft SQL Server 20 following Kimball methodology and good knowledge of data modelling concepts Post release support of deployed BI engineering process Data ingestion, transformation, data modelling and data warehousing, and building self-service
building data pipelines including. Knowledge of developing both multidimensional and tabular models. Knowledge of building data dictionaries and dimensional data models. If you are ready to take the next step in your
building data pipelines including. Knowledge of developing both multidimensional and tabular models. Knowledge of building data dictionaries and dimensional data models. If you are ready to take the next step in your
opportunities for improvement. Design and optimize data models to ensure efficient data retrieval and reporting
opportunities for improvement. Design and optimize data models to ensure efficient data retrieval and reporting
analysis Experience with ETL, SQL, PL/SQL, data modeling, and scripting Proven track record in delivering
maintain the data warehouse in line with the data model; metadata repository and to provide business database concepts and SQL, PL/SQL Experienced at Data Models – Schemas / 3rd Normal Forms and Dimensional
maintain the data warehouse in line with the data model; metadata repository and to provide business database concepts and SQL, PL/SQL Experienced at Data Models – Schemas / 3rd Normal Forms and Dimensional