1 to 25 of 55 Remote 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 ❯

high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata … high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata More ❯

high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata … high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata 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 ❯

data solutions. In this position, you'll be responsible for designing, building, and optimizing data warehouses using best practices in dimensional modelling, Kimball methodologies, star schema design, and Data Vault principles, ensuring adherence to sound data architecture practices. Based in Avonmouth on a hybrid working basis – 2 days … focusing on stored procedures, indexing, partitioning, and load performance. A proven track record in designing and building data warehouses using Kimball methodologies, dimensional modeling, star schema design, and Data Vault techniques is essential. You should be well-versed in applying data architecture principles to create robust, scalable solutions 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 ❯

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 ❯

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 ❯

and target state requirements Support in designing enterprise-level data products Apply conceptual, logical, and physical data model understanding Utilize data modelling techniques (e.g., star schema, snowflake schema, normalization/denormalization) Required Skills & Experience: Advanced SQL, SSIS packages, Python and Shell Scripting expertise Experience using ER Studio 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 ❯

and business rules. **Please note that the responsibilities listed above are not exhaustive. 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 ❯

and business rules. **Please note that the responsibilities listed above are not exhaustive. 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 ❯

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 ❯

Data Factory), Boomi, and Databricks Proficiency in designing and implementing Medallion Architecture with bronze, silver, and gold layers Experienced curating and modeling data into Star Schemas Strong background in semantic modeling and creating meaningful, user-friendly data sets Experience with Azure Data Lake, Databricks, Synapse, and Power BI. Work More ❯

Factory, Synapse, Azure SQL, Data Lake) Strong proficiency in Power BI , including DAX, data modelling, and deployment Experience designing and implementing data warehouses and star schema models Background in building scalable data pipelines and APIs Excellent communication skills and ability to work with both technical and non-technical More ❯

with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within More ❯

rollout. Experience with business intelligence tools, data modeling, data staging, and extraction processes, including data warehouses and cloud infrastructure. Knowledge of multi-dimensional design, star schemas, facts, and dimensions. Proficiency in ETL development techniques. Experience in optimizing data warehouse performance. Experience across various industry sectors is advantageous. Understanding of More ❯

Catalog, Data Lineage or Reporting Governance You know all about the SQL You have experience in Power BI, including DAX, data modeling techniques, minimum Star Schemas (Kimball) and others are nice to have. You get even more bonus points if You have a good Experience with master data management More ❯

solutions to a variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw More ❯

solutions to a variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw More ❯

Business Intelligence reports and dashboards. Perform ad hoc analysis as assigned and actively identify new opportunities for value-add analytics. Required Skills: Dataflow Gen2 Star Schema Modeling Power BI knowledge including: RLS & Semantic modeling Data retrieval from PPM tool database using ODt connector for full and incremental loads More ❯

Big s: Experience with an ETL tool (Talend, SSIS, Informatica ) ; Knowledge of MDX and/or DAX languages ; Solid understanding of BI modeling (DataMart, star schema, snowflake ) ; Bonus points if you know your way around Machine Learning, Big Data, or Microsoft Azure! What We Offer: A serious job More ❯

Big s: Experience with an ETL tool (Talend, SSIS, Informatica ) ; Knowledge of MDX and/or DAX languages ; Solid understanding of BI modeling (DataMart, star schema, snowflake ) ; Bonus points if you know your way around Machine Learning, Big Data, or Microsoft Azure! What We Offer: A serious job More ❯

techniques to structure data for optimal performance and usability. Profile Strong knowledge with SQL, DBT, Databricks, Python, Oracle Strong testing mindset (quality-first principle) Star schema modeling (facts/dimensions) You have an e xperience in the banking sector You have good written and spoken communication skills in More ❯

potential. What Do We Need From You? Experience in the development of Azure Data solutions Knowledge of data modelling principles, including common patterns, e.g. star schema, snowflake or data vault Experience in implementation end-to-end ETL/ELT solutions Experience in m aintaining and optimising an Enterprise More ❯