... powered by innovative and scalable software solutions. Our kitchens operate with the proprietary Smart Kitchen Operating System (SKOS), an in-house suite ... important business questions that the data models would be able to ...
... discover and onboard new data sources to enrich the organizations assets. Data Mapping: Design and implement data mapping processes to ensure seamless integration and interoperability across various data sources and systems. Develop and maintain ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, and ...
... . Secret Escapes adopt a buddy system where you will be assigned ... a combination of management and developers within Data Science, Data Engineering, Analytics Engineering and Digital ...
... closely with developers to support them and improve data engineering processes. Support team members ... Science, Information Systems, or a related field is typically required. Additional certifications in data integration tools or platforms are advantageous. ...
... 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 ...
... preferred3+ years experience as a Data Warehouse Developer, Data Engineer with Python or similarStrong experience with full Microsoft Azure data engineering pipelines (Azure Data Factory, Azure Data Bricks, ADLS, Azure Event Hub, ...
... preferred5+ years experience as a Data Warehouse Developer, Data Engineer with Python or similarStrong experience with full Microsoft Azure data engineering pipelines (Azure Data Factory, Azure Data Bricks, ADLS, Azure Event Hub, ...
... will include: Designing and implementing system architecture and data flow, Integrating third-party systems (via APIs) and external data sources into data warehouse, Implementing integrations between systems to match and enrich data (e.g. CRM, Wiki and ...
... clients specific business needs. Develop data models, data flows, and data integration strategies to ensure seamless and efficient data management across various systems and platforms. Provide guidance and ...