... Strong understanding of data science and data science principles, with the ability to apply these to real-world scenarios, GCP Proficiency: Proficient in Google Cloud Platform (GCP), ideally holding a Professional Cloud Architect certification and other ...
... of solutions related to cloud data and analytics services, including SQL Database, NoSQL databases, SQL Data Warehouse and Big Data processing Define the business case ... exciting opportunity for a Cloud Data Engineer Architect to join a global organisation ...
... , rest from home Lead Data Scientist - ML & Modeling The Company ... and lead delivery of data science projects based on the ... use of modelling for data driven decision making across the ... outcomes. Exposure to Big Data platforms, such as Hadoop and ...
... Project Manager)Demonstrated experience in Data Quality, along with an understanding of Data Governance.Familiarity with data analytics and visualisation tools such ...
... data and analytics experiences across data strategy, data architecture, data governance, visualizations, AI ML, legacy data platforms and modern could data stack Deep expertise in defining, architecting, and delivering modern cloud data stack based data ...
... The Opportunity Reporting to the Data Architect, this fixed term contract (2 ... years) role is critical in delivering industry-standard data engineering solutions. The senior Data Engineer will have an excellent ...
... , Excel, Powerpoint, Word. Experience implementing Data Lake and or Data Warehouse applications and accompanying data architecture (e.g. Data Models, ETL, data governance, security) and or business ...
... Operational process flow design Provide data analysis, interpretation and insight Cost modelling of warehouse operations Commercial data reporting and presentation To be ...
... across Butterfly to understand their data needs and provide relevant insightsContinuously ... journeysWork with fundraising to define data segmentation for appeals and other ...
... Experience with ETL processes and data integration Working knowledge of data modeling and database design principles Familiarity with big data technologies such as Hadoop, Spark, ...