Knowledge of ETL& ELT, data warehousing/business intelligence methodologies. Experience handling big data, cloud technology and unstructured data. Star Schema structure & design, Kimball & inmon, and hybrid data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks more »
Essential skills: Experience of T-SQL including database schema design, views, stored procedures, and user defined functions Exposure to Data Warehousing design techniques (Kimball/Star Schema) Experience of using Visual Studio or similar IDE Skills in the following areas are advantageous: Experience of source control platforms e.g. more »
dealing with big data, cloud technology and unstructured data and the relative required approaches. Knowledge of star schema structure & design, detailed understanding of Kimball & Inmon and hybrid data warehouse design. Knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Knowledge in more »
/business intelligence methodologies including dealing with big data, cloud technology and unstructured data Knowledge of star schema structure & design, detailed understanding of Kimball & Inmon and hybrid data warehouse design Detailed knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Detailed more »
Essential Skills and Experience SQL Mastery : Advanced proficiency in SQL for data manipulation and query optimisation. Data Modelling : Familiarity with design tools like Kimball and DataVault. OLAP and OLTP : Strong understanding of both Online Analytical Processing and Online Transaction Processing. Cloud Platforms : Experience with cloud services, preferably AWS more »
of success in Data Engineering teams Experience with relational and MPP databases (Snowflake, Redshift, Big Query etc). Experience with data modelling techniques (Kimball/Star, Datavault, etc). Experience with SQL and query design on large, complex datasets. Experience with cloud and big-data tools and frameworks more »
Greater London, England, United Kingdom Hybrid / WFH Options
Cera
infrastructure and security (e.g. Terraform) and implementing these operational practices within the team Great communication and data modelling (especially dimensional modelling) skills (e.g. Kimball) A high degree of self-sufficiency, with proven track record of delivery in a high autonomy environment What we offer ● Career development in an more »
Database Developer Contract (Inside) - London GCP/DBT/Kimballmethodology We have partnered with one of Londons leading asset managers who are looking for a contractor who has used DBT extensively in last 3 yrs as developer to build a warehouse IN GCP. EXPERIENCE Must have more »
Databricks Relevant industry recognised certifications, such as TOGAF, AWS Solution Architect etc Experience of delivering projects using relevant Data Architectural paradigms such as Kimball, Data Vault, Data Mesh, Lakehouse Demonstrable knowledge of key AWS services such as S3, EMR, Redshift, Athena, Lambda Excellent stakeholder management skills To be more »
infrastructure and security (e.g. Terraform) and implementing these operational practices within the team Great communication and data modeling (especially dimensional modeling) skills (e.g. Kimball) A high degree of self-sufficiency, with proven track record of delivery in a high autonomy environment more »
City of London, London, United Kingdom Hybrid / WFH Options
TALENT INTERNATIONAL UK LTD
Developer your key responsibilities will be: Design, develop, and maintain robust ETL/ELT processes and data pipelines. Implement data warehousing solutions using Kimball and Inmon methodologies. Develop and manage cloud-based data solutions using Azure services such as Data Factory, Event Hubs, Data Lake, Synapse, and Azure … best practices. Expertise in handling big data, cloud technology, and unstructured data. Proficient in star schema structure & design, with a thorough understanding of Kimball, Inmon, and hybrid data warehouse design. Extensive experience with Azure data products including Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. more »
data warehousing/business intelligence methodologies, and best practices. Handle big data, cloud technology, and unstructured data, employing appropriate methodologies. Understand and apply Kimball, Inmon, and hybrid data warehouse design principles. Utilize cloud data products such as Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. … security, and integrity. Qualifications: Proven experience with ETL/ELT processes, data warehousing methodologies, and best practices. Strong knowledge of star schema structure, Kimball, Inmon, and hybrid data warehouse design. Proficient in using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. more »
