1 to 25 of 58 Permanent Star Schema Jobs

communication style based on the audience. Data Modeling and Warehousing: • Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). • Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS … R or Python for analytics, data manipulation, and algorithm development. • Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. • Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively More ❯

communication style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS … R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively More ❯

communication style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS … R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively More ❯

Key Responsibilities: Evolve a successful proof-of-concept into a scalable, secure Azure-based data platform. Develop reusable Azure Data Factory (ADF) pipelines. Implement STAR schema models in Azure SQL . Apply security, data masking, segregation, and pseudonymisation techniques. Enhance platform manageability, cost-efficiency, and performance. 🧠 Required Skills … ADF): Incremental dimension creation Managed identity/service principal integration Performance tuning & parallelism Reusable templated ingestion patterns Azure SQL: Integration with Microsoft Entra ID STAR schema implementation Schema/naming standardisation Migration of logic from Power BI to SQL Data masking & pseudonymisation 🎁 Benefits: Competitive pension scheme Annual More ❯

Key Responsibilities: Evolve a successful proof-of-concept into a scalable, secure Azure-based data platform. Develop reusable Azure Data Factory (ADF) pipelines. Implement STAR schema models in Azure SQL . Apply security, data masking, segregation, and pseudonymisation techniques. Enhance platform manageability, cost-efficiency, and performance. 🧠 Required Skills … ADF): Incremental dimension creation Managed identity/service principal integration Performance tuning & parallelism Reusable templated ingestion patterns Azure SQL: Integration with Microsoft Entra ID STAR schema implementation Schema/naming standardisation Migration of logic from Power BI to SQL Data masking & pseudonymisation 🎁 Benefits: Competitive pension scheme Annual More ❯

ETL, SQL programming/SSIS skills. Skills in data mapping and modelling. 3-5 years' experience in SQL language. Knowledge of Kimball methodology/Star Schema modelling in Data Warehousing. Experience of SSIS and SSMS. Good understanding and experience of building ETL processes including extracting data via APIs. … ETL, SQL programming/SSIS skills. Skills in data mapping and modelling. 3-5 years' experience in SQL language. Knowledge of Kimball methodology/Star Schema modelling in Data Warehousing. Experience of SSIS and SSMS. Good understanding and experience of building ETL processes including extracting data via APIs. More ❯

operational data needs into robust, scalable data solutions. Design and implement ETL/ELT processes to ensure efficient data ingestion, transformation, and loading. Apply STAR schema and Kimball dimensional modelling to optimise data structures for performance and usability. Extend and maintain the data warehouse, integrating financial and operational … candidate information pack) and the following role specific skills and experience: Essential: Proven experience in designing and developing Data Warehouses, with strong knowledge of STAR schema and Kimball dimensional modelling principles. Proficient in advanced T-SQL development for Data Warehousing, using recent versions of SQL Server or Azure More ❯

maintenance of bronze, silver, and gold data tables Optimize query performance, indexing strategies, and resource utilization for scalable data solutions Implement and refine database schema designs to align with evolving business requirements Coordinate with AI/ML teams to structure data sets and support advanced analytical needs Lead the … and high-quality deliverables. Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP) and associated managed services Experience with data modeling frameworks (e.g., star schema, snowflake schema) Knowledge of data governance principles, data cataloging, and metadata management Ability to work with version control tools (e.g., Git More ❯

ll play a key role in delivering this vision as part of an agile team focused on: Developing scalable Azure Data Factory pipelines Implementing STAR schema-based data models in Azure SQL Enhancing security, manageability, and cost-efficiency of data operations Building reusable, templated data ingestion processes Applying … authentication Parallelism and performance tuning for ADF pipelines Templating for reusable, scalable ingestion patterns Azure SQL: Integration with Microsoft Entra ID (formerly Azure AD) STAR schema implementation for analytic models Standardising naming conventions and schema organisation Migrating data processing logic from Power BI to the SQL layer More ❯

ll play a key role in delivering this vision as part of an agile team focused on: Developing scalable Azure Data Factory pipelines Implementing STAR schema-based data models in Azure SQL Enhancing security, manageability, and cost-efficiency of data operations Building reusable, templated data ingestion processes Applying … authentication Parallelism and performance tuning for ADF pipelines Templating for reusable, scalable ingestion patterns Azure SQL: Integration with Microsoft Entra ID (formerly Azure AD) STAR schema implementation for analytic models Standardising naming conventions and schema organisation Migrating data processing logic from Power BI to the SQL layer More ❯

Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in More ❯

Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in More ❯

You'll work closely with our clients to design the correct data models to support their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using … with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools (e.g. More ❯

the warehouse. Develop and maintain documentation on data models, processes, and business rules. SKILLS AND QUALIFICATIONS Data Warehousing: Strong knowledge of the Kimball methodology (star schema, fact & dimension tables). Experience in designing and implementing data models for analytical reporting. ETL/ELT & Data Integration: Hands-on experience More ❯

with the rest of the days from home. Key Skills Hands-on experience working with Teradata and other Datawarehouses. Deep expertise in Teradata architecture, star schema, snowflake schema, SQL optimization, and Data Modelling. Experience in implementation of Teradata utilities (BTEQ, Fast Load, Multiload, TPT etc.) for efficient More ❯

knowledge of SAP FICO, SD, MM/Pur, PP data and tables. Sound knowledge of BODS scheduling and Management Console. Strong knowledge of SQL, star schema, data modelling and data warehouse concepts. Solid Experience with Data Integration transforms such as Query, Validation, Case transforms and Data Quality transforms More ❯

knowledge of SAP FICO, SD, MM/Pur, PP data and tables. Sound knowledge of BODS scheduling and Management Console. Strong knowledge of SQL, star schema, data modelling and data warehouse concepts. Solid Experience with Data Integration transforms such as Query, Validation, Case transforms and Data Quality transforms More ❯

and other Azure data services. Familiarity with Azure Blob Storage, Azure Data Lake, and data lake architectures. Experience working with data modelling, normalization, and star schema design for data warehouses. Proficient in scripting languages such as Python, Shell, or PowerShell for automation tasks. Knowledge of CI/CD More ❯

and other Azure data services. Familiarity with Azure Blob Storage, Azure Data Lake, and data lake architectures. Experience working with data modelling, normalization, and star schema design for data warehouses. Proficient in scripting languages such as Python, Shell, or PowerShell for automation tasks. Knowledge of CI/CD More ❯

and other Azure data services. Familiarity with Azure Blob Storage, Azure Data Lake, and data lake architectures. Experience working with data modelling, normalization, and star schema design for data warehouses. Proficient in scripting languages such as Python, Shell, or PowerShell for automation tasks. Knowledge of CI/CD More ❯

and other Azure data services. Familiarity with Azure Blob Storage, Azure Data Lake, and data lake architectures. Experience working with data modelling, normalization, and star schema design for data warehouses. Proficient in scripting languages such as Python, Shell, or PowerShell for automation tasks. Knowledge of CI/CD More ❯

Implement Bronze, Silver, and Gold layers using formats like Delta , Parquet , and JSON for data transformation. Data Modeling : Develop and optimize data models using star schema and slowly changing dimensions for analytics and operations. Data Governance : Ensure robust data security with Role-Based Access Control (RBAC) and Unity More ❯

databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling. Strong analytical skills and a technical aptitude. Ability to challenge and provide input in system architecture and design decisions. More ❯

databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling Strong analytical skills and a technical aptitude Ability to challenge and provide input in system architecture and design decisions. More ❯

databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling Strong analytical skills and a technical aptitude Ability to challenge and provide input in system architecture and design decisions. More ❯