... be building and implementing scalable data products on our global data platform together with other smart ... tools and solutions like ADF, Data lake, Synapse, Analysis Services and DataBricks. Team Player Passionate About Data And Engineering Some would say ...
... insights and develop recommendations from data analysis - At least 5-7 years of working experience with Analytics & BI tools and services, such as SQL, Redshift, Tableau - ...
... architecture design Knowledge of modern data software architectures Experience with data modelling, ETL ELT and data integration Experience in Azure Data service portfolio (i.e., Azure SQL, Azure Data Factory, Synapse Analytics, Power BI ...
... architecture design Knowledge of modern data software architectures Experience with data modelling, ETL ELT and data integration Experience in Azure Data service portfolio (i.e., Azure SQL, Azure Data Factory, Synapse Analytics, Power BI ...
... knowledge of cloud data services, data warehousing, big data technologies, and data lakes. Expertise in data modeling, data integration, and ETL processes. Familiarity with data governance, data security, and ... global sites. “Office as an option” ...
... knowledge of cloud data services, data warehousing, big data technologies, and data lakes. Expertise in data modeling, data integration, and ETL processes. Familiarity with data governance, data security, and ... global sites. “Office as an option” ...
... via video or teleconference. The Data Developer is responsible for providing highest quality services by delivering data insights and across the Bank by developing data repositories and providing data assets aligned to the Bank ...
... technical expertise Experience with building data pipelines, creating complex data transformations, automatic data testing, building deployment flows Fluent ...
... technical expertise Experience with building data pipelines, creating complex data transformations, automatic data testing, building deployment flows Fluent ...
... technical expertise Experience with building data pipelines, creating complex data transformations, automatic data testing, building deployment flows Fluent ...