4 of 4 Remote SQL Server Integration Services Jobs in Birmingham

of data design principles, data security, data protection, and regulatory compliance. Power BI Developer/PowerBI Developer Expected Technical Skills & Qualifications: Microsoft certifications e.g., MCSA in Cloud Platform, SQL BI Development, BI Reporting or Data Engineering with Azure Expert in … the use of PowerBI to create meaningful and aesthetically pleasing reporting and analytics. Experience with Microsoft BI stack (T-SQL, SQL Server database, SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing … ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources through Azure API Management and Azure Logic Apps. More ❯

ERP, Finance applications • Integration to D365, Dataverse solutions or other SaaS applications • Data Quality Frameworks: Soda.io, Great Expectations, DBT • Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets • Extracting data from a variety of sources including SQL databases, document … databases, graph databases, web APIs, etc. • Building dashboards to reconcile migrated data Desirable experience: • Azure data certifications • Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool • Writing unit tests, git Version control • Awareness of reliability patterns in ETL pipelines • Use of python in Jupyter notebooks for data processing • Azure storage technologies and cost/… around us. The kind of things we do regularly include working with not-for-profits to transform how they leverage technology, working with public bodies to shape digital services and working with top tier private entities to bring genuinely new and meaningful products and services to market. • Great Benefits - all the usual suspects and then some. More ❯

ERP, Finance applications Integration to D365, Dataverse solutions or other SaaS applications Data Quality Frameworks: Soda.io, Great Expectations, DBT Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets Extracting data from a variety of sources including SQL databases, document … databases, graph databases, web APIs, etc. Building dashboards to reconcile migrated data Desirable experience: Azure data certifications Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Use of python in Jupyter notebooks for data processing Azure storage technologies and cost/… around us. The kind of things we do regularly include working with not-for-profits to transform how they leverage technology, working with public bodies to shape digital services and working with top tier private entities to bring genuinely new and meaningful products and services to market. Great Benefits – all the usual suspects and then some. More ❯

team, reviewing their ideas, providing feedback and identifying their knowledge gaps to support their development Design, develop, and manage data pipelines using Fabric Data Factory Leverage Fabric Data Integration for seamless data source integration Implement and maintain robust data governance frameworks with Fabric Data Management Create and maintain interactive dashboards and visualizations in Power BI and … such as Data Factory, Databricks, Synapse, Kafka and Python Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned Any previous experience with setting up data governance and processes would be highly beneficial Good proficiency in Power … BI and Tableau Strong knowledge of data integration techniques and ETL/ELT processes Experience with data modelling, data warehousing, and data governance best practices More ❯