1 to 25 of 26 Star Schema Jobs

scalable, future-proof data architectures and 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 for data warehouse, data lake … technical challenges Conduct architecture reviews and 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 architecture, orchestration patterns, best More ❯

this field, we'd like to 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 and improve Power BI … . Analytics, Coding Languages, Python, 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, Provide Training, Data Infrastructure, Fabric More ❯

this field, we'd like to 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 and improve Power BI … . Analytics, Coding Languages, Python, 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, Provide Training, Data Infrastructure, Fabric More ❯

this field, we'd like to 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 and improve Power BI … . Analytics, Coding Languages, Python, 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, Provide Training, Data Infrastructure, Fabric More ❯

duties as directed. Provide a 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 database Develop analytics and reports … Services (SSIS) or other similar ETL 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 SQL and PL/SQL against More ❯

tools and data orchestration frameworks (e.g., Azure Synapse, Airflow, or SSIS). Familiarity with cloud data platforms (Azure, AWS, or GCP). Strong understanding of data warehousing concepts (e.g., star schema, snowflake schema). Preferred: Experience with Python or Scala for data processing. Knowledge of Azure Synapse, Databricks, or similar technologies. Understanding of CI/CD pipelines More ❯

loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Solid understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks (GDPR, HIPAA, ISO 27001, NIST, SOX, PII) and AWS security features (IAM, KMS, RBAC). Knowledge of Azure data More ❯

loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Solid understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks (GDPR, HIPAA, ISO 27001, NIST, SOX, PII) and AWS security features (IAM, KMS, RBAC). Knowledge of Azure data More ❯

have an advanced education. Requirements: 84 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 data management disciplines and More ❯

Query, and M language.Strong SQL 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 or R for advanced analytics (optionalMicrosoft Power More ❯

Excel based analysis towards automated or semi-automated solutions. Experience in translating business requirements whilst also enhancing their ask by providing and explaining useful additional analysis. Expert knowledge of star schema modelling including dimensional data modelling, the identification of dimensions, facts, measures and hierarchies. Advanced experience developing analytics using Microsoft Power BI and/or other data visualisation More ❯

Requirements Essential: Strong experience with 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 BI development tools Familiarity with source More ❯

Lake Storage Gen2). Strong SQL skills (T-SQL), with experience in Python/Scala andSpark/PySpark for big-data transformations. Demonstrated experience in data modelling and warehousing (star schema, snowflake, dimensional modelling, medallion architecture). Experience designing and implementing ETL/ELT pipelines using ADF, dataflows, or Synapse pipelines. Knowledge of data governance, metadata, data lineage More ❯

design and ETL processing, preferably experienced in EPIC data model and other Healthcare data. Experience with data mapping analysis and design Familiar with Data Warehouse concepts and experience with Star Schema Extensive knowledge of data structures, database solutions, and best practice data management principles Strong analytical and problem solving skills Note: If you are interested, please share your More ❯

Essential Skills and Experience Strong, 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 , SQL , Databricks , and BW Knowledge More ❯

Essential Skills and Experience Strong, 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 , SQL , Databricks , and BW Knowledge More ❯

in a fast-moving environment. 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 More ❯

design, implementation, and testing of Microsoft BI technologies. Responsibilities Design, develop, implement, and maintain business intelligence using Microsoft BI technologies. Understand and implement data modeling using best practices and star schema design. Analyze complex data from multiple sources including SQL Server databases and Analysis Services Tabular models. Collaborate with business analysts and subject matter experts to gather requirements More ❯

Server Integration Services (SSIS) Database 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 be a hybrid role with the anticipation More ❯

Ensure documentation, data dictionaries, lineage, and 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). Proven background in More ❯

Collaborate with stakeholders to understand 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, COUNTIFS, text functions). Dashboard More ❯

will: Digest data requirements, gather and analyse large scale structured data and validate by profiling in a data environment Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data Understand and produce ‘Source to Target mapping More ❯

analytics projects Manage multi-vendor and 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 design experience Other Ability More ❯

analytics projects Manage multi-vendor and 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 design experience Other Ability More ❯

Implement ingestion patterns for files, 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, SLAs/SLIs, runbooks and cost-optimisation across the platform. DevOps & Platform Engineering Build CI More ❯