9 of 9 Contract Dimensional Modelling Jobs

batch processing Desirable Skills Working knowledge of SAS (especially in ETL context) Experience in migrating SAS workloads to Informatica ETLs Familiarity with data modelling (dimensional modelling/star schema) Exposure to scheduling tools (e.g., Control-M, Autosys) Understanding of data governance and data quality frameworks ...

batch processing Desirable Skills Working knowledge of SAS (especially in ETL context) Experience in migrating SAS workloads to Informatica ETLs Familiarity with data modelling (dimensional modelling/star schema) Exposure to scheduling tools (e.g., Control-M, Autosys) Understanding of data governance and data quality frameworks Must have ...

requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise … environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow ...

Data Engineers, Business Analysts, and Power BI Developers to ensure data is structured, governed, and optimised for business use. Key Responsibilities Design and develop dimensional data models and datamarts Translate business requirements into logical and physical data models Optimise data structures for Power BI reporting and analytics Collaborate with … maintain metadata, data dictionaries, and documentation Support data governance, quality, and consistency initiatives Ensure data integrity through testing and validation activities Contribute to data modelling standards and best practices Essential Skills & Experience Strong experience in Data Modelling and Data Warehousing Expertise in dimensional modelling techniques Experience ...

Fabric Integrate and transform Salesforce data into a unified data platform. Develop and optimise ETL/ELT processes for performance and scalability. Implement data modelling best practices (star schema, dimensional modelling). Collaborate with stakeholders to translate business requirements into technical solutions. Key Requirements Proven experience ...

Fabric Integrate and transform Salesforce data into a unified data platform. Develop and optimise ETL/ELT processes for performance and scalability. Implement data modelling best practices (star schema, dimensional modelling). Collaborate with stakeholders to translate business requirements into technical solutions. Key Requirements Proven experience ...

Fabric Integrate and transform Salesforce data into a unified data platform. Develop and optimise ETL/ELT processes for performance and scalability. Implement data modelling best practices (star schema, dimensional modelling). Collaborate with stakeholders to translate business requirements into technical solutions. Key Requirements Proven experience ...

Agentic AI. Strong experience Must have prior experience with end-to-end implementation of Cloud data technologies (i.e.Fabric, Snowflake). Expertise in data modelling, ELT and implementing complex stored Procedures. Expertise in various Snowflake technologies like Snowpark, SnowPipe, SnowPipe Stream, Dynamic Tables, Document AI, Cortex Analytics, Unistore etc. Expertise … systems, Salesforce, GIS, PI Historian to Snowflake. Deep understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modelling and third normal form) Experience with data security and data access controls and design Deep understanding of SoX, GDPR and Regulatory/ ...

Collaborate with operational teams to identify and surface key data for dashboards. Develop and implement data validation checks and quality control measures. Assist in modelling and structuring data in the new system for optimal visualisation. Provide technical expertise to enhance data reliability, traceability, and overall quality. Essential Skills … Experience : Strong experience with Snowflake and Data Warehousing. Proficiency in SQL and Azure Data Factory. Familiarity with data flows, dimensional modelling, and Power BI. BA background highly advantageous. Knowledge of KQL and DAX is desirable. Desirable Attributes : Experience in a regulated industry or with investment/financial data. ...