Data Platform Manager
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...
... queries, stored procedures, etc. Create data integrations with scripting languages such as Python a plus Design data models for the data warehouse. Work as part of the Data Office - Architecture and Engineering team ...
... You will be an essential part of the data engineering organization, the SAP program community and Pandora’s extended Data & Analytics community. You will work within the data product engineering team in a ...
... . If you want to : take part in the development and implementation of a complex system of smart data solutions have opportunity to work ... in English almost all the time If interested please let us ...
... highly motivated and experienced Senior Data Engineer to join their Data Engineering team. You will work as part of an exciting greenfield tech ...
... , results and delivering projects on time and within budget.Create a mindset to bring new ideas, and push the data warehouse development with willingness to ... monthly allowance to cover a part of your running costs. In ...
... performance, and maintaining them over time - Effectively communicate complex data-driven insights and recommendations to ... to identify problems, gather relevant data, and develop creative solutions - Continuous ...
... technical expertise Experience with building data pipelines, creating complex data transformations, automatic data testing, building deployment flows Fluent ...
... BI, Analytics, Product and other data consumers to build data-driven solutions, features and insights. Responsibilities: Create data pipelines – both as batch and in real-time - to ingest data from dissimilar sources Collaborate with ...
... . In-depth 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 compliance standards. Proficiency ...