19 of 19 Star Schema Jobs

provide technical leadership across transformation programmes: Architecture & Design: Design enterprise data architectures for Snowflake and Azure cloud ecosystems Create dimensional data models (star schema, snowflake schema, Data Vault) supporting analytics and BI Define data strategy and governance frameworks – lineage, cataloging, security, compliance Lead solution design … design authority for data solutions Mentor engineers on best practices in data modeling, performance optimization, and cloud architecture ESSENTIAL SKILLS: Data Modeling expertise - Star schema, dimensional modeling, Data Vault, logical/physical design Snowflake Cloud Data Platform - Architecture design, performance tuning, cost optimization, governance Azure Data Factory - Pipeline

hear from you. Design and implement data pipelines using Databricks, Azure Data Factory, and other relevant tools. Develop and maintain data models, including star schema modeling, to support business intelligence and analytics. Implement and maintain CI/CD pipelines using Azure DevOps. Gathering & understanding end-user requirements. Maintain … Improve Data, Aligning Data, Databricks, End Users, Data Platform, Dataset, Stay Informed, S-PLUS, Data Pipelines, Data models, DevOps Engineering, Databricks, Technology, Data Systems, Star schema, ISA, Attention to detail, Business Goals, Microsoft Azure, Relevant Data, Pipelines, Azure Data Factory, Industry Trends, Improve Data, Organization Skills, Data engineering

hear from you. Design and implement data pipelines using Databricks, Azure Data Factory, and other relevant tools. Develop and maintain data models, including star schema modeling, to support business intelligence and analytics. Implement and maintain CI/CD pipelines using Azure DevOps. Gathering & understanding end-user requirements. Maintain … Improve Data, Aligning Data, Databricks, End Users, Data Platform, Dataset, Stay Informed, S-PLUS, Data Pipelines, Data models, DevOps Engineering, Databricks, Technology, Data Systems, Star schema, ISA, Attention to detail, Business Goals, Microsoft Azure, Relevant Data, Pipelines, Azure Data Factory, Industry Trends, Improve Data, Organization Skills, Data engineering

hear from you. Design and implement data pipelines using Databricks, Azure Data Factory, and other relevant tools. Develop and maintain data models, including star schema modeling, to support business intelligence and analytics. Implement and maintain CI/CD pipelines using Azure DevOps. Gathering & understanding end-user requirements. Maintain … Improve Data, Aligning Data, Databricks, End Users, Data Platform, Dataset, Stay Informed, S-PLUS, Data Pipelines, Data models, DevOps Engineering, Databricks, Technology, Data Systems, Star schema, ISA, Attention to detail, Business Goals, Microsoft Azure, Relevant Data, Pipelines, Azure Data Factory, Industry Trends, Improve Data, Organization Skills, Data engineering

list of the day to day tasks to be performed by the Selected Candidate: Perform Data profiling on the source systems Design and review star schema dimensional model to support data warehouse and data marts Perform Source to Target Mapping between source system database and data warehouse target … tool 2. 36 months experience in analytics and operational reporting using Tableau and SQL Server Reporting Services (SSRS 3. 36 months experience in Star Schema/Dimensional Modeling to support data warehouse environments as well as OLTP environments. 4. 48 months experience developing and tuning complex

Months experience with developing and maintaining logical and physical dimensional data models, building data migration strategies utilizing sound concepts of data modeling including star schema, snowflake schema, etc. 84 Months experience in a data modeling tool (e.g., ErWin, ER/Studio). 84 Months experience in relational

secure, and intuitive reporting solutions that drive decision-making. Key Responsibilities Power BI Development & Architecture Design and build scalable, optimized Power BI semantic models (star schema, fact/dim design). Develop advanced DAX calculations, measures, KPIs, and time-intelligence logic. Create complex interactive dashboards, paginated reports

skills and database understanding.Experience with ETL processes and data integration.Ability to analyze business requirements and translate them into technical solutions.Knowledge of data modeling techniques (star schema, snowflake Preferred Qualifications Experience with Azure Data tools (Data Factory, Synapse, SQL DatabaseExperience in building enterprise BI solutions.Knowledge of Python

SSRS, SSIS, SSAS, and Power BI Advanced SQL Server capabilities: T-SQL, stored procedures, and performance tuning Experience designing and building data warehouses and star schemas Strong ETL experience using SQL Server SSIS Proficiency with Power BI, including DAX and Power Query Experience with Visual Studio and Microsoft

proven experience in Power BI development within an Asset Management environment Strong, proven experience in advanced data modelling , DAX , and data transformation Expertise with star schemas , dimensional modelling semantic models , and dataflows Solid understanding of data security, access controls, and distribution practices Experience with data sources such as Snowflake

proven experience in Power BI development within an Asset Management environment Strong, proven experience in advanced data modelling , DAX , and data transformation Expertise with star schemas , dimensional modelling semantic models , and dataflows Solid understanding of data security, access controls, and distribution practices Experience with data sources such as Snowflake

Ability to build good, professional relationships, both internally and externally as a representative of Reed In Partnership. Technical skills: Snowflake Scheme Design, Kimball Methodology, Star Schemas Programmes: Snowflake

design/implementation - showing a strong understanding of relational database design/entity relationship Data warehouse design/implementation – showing a strong understanding of star schema/Kimball Whilst not essential, skills in SSRS, Power BI, Power Query, C# and DAX would be helpful. This will

governance standards are embedded across the team. Essential Skills Strong expertise with SQL , particularly Databricks SQL . Demonstrable experience designing data models (e.g., star schema) and scalable architecture. Knowledge of Azure Modern Data Warehouse tools: Synapse, Databricks, Delta Lake, Unity Catalog. Experience with pipeline orchestration (e.g., Synapse pipelines

requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS

internal teams Ensure alignment with strategic objectives Essential Skills Leadership in multi-vendor environments BI/Warehousing & Agile Scrum expertise Data warehouse architecture (Star Schema, Kimball, Inmon) Project management (PRINCE2, PMP) & ITIL principles Strong stakeholder engagement & risk management Desirable Knowledge of emerging tech & MPP platforms Advanced data warehouse

internal teams Ensure alignment with strategic objectives Essential Skills Leadership in multi-vendor environments BI/Warehousing & Agile Scrum expertise Data warehouse architecture (Star Schema, Kimball, Inmon) Project management (PRINCE2, PMP) & ITIL principles Strong stakeholder engagement & risk management Desirable Knowledge of emerging tech & MPP platforms Advanced data warehouse

APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance … credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts to power high-performance Power BI datasets . Apply governance, lineage and fine-grained permissions via Unity Catalog . Orchestration & Observability Design and optimise orchestration using Lakeflow Workflows and Azure Data Factory . Implement monitoring, alerting

APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance … credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts to power high-performance Power BI datasets . Apply governance, lineage and fine-grained permissions via Unity Catalog . Orchestration & Observability Design and optimise orchestration using Lakeflow Workflows and Azure Data Factory . Implement monitoring, alerting