Data Engineer

2 semanas atrás

Lisboa, Portugal Winning Tempo inteiro

At WINNING CONSULTING we are looking for aData Engineer profile to join our teams in a project for an important client in the Services Sector -(Hybrid) REQUIREMENTS Solid skills with Python for ETL (especially PySpark ) Experience working with Snowflake as a NoSQL data system Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and NoSQL database (Snowflake) Experience with cloud environments Experience building and optimizing 'big data' data pipelines Strong analytic skills related to working with unstructured datasets Experience supporting and working with cross-functional teams in a dynamic environment. Fluent in English MAIN RESPONSABILITIES For this role, a Data Engineer is focused on building the data backend, building processes supporting data transformation, data structures, metadata, dependency and workload management.To achieve this, you need to:Implementing ETL processes for complete data integration, primarily focusing on Snowflake data Implementing data models for reporting and data analysis Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS 'big data' technologies Working with data and analytics experts to design appropriate solutions for data analysis use cases. WHO WE ARE? Winning Consulting is a consultancy company that offers consultancy, training, recruitment and research services. We support our clients in the search for innovative solutions, from the application of scientific knowledge to solve complex management problems to the digital and technological transformation of organizations.If you want to know more about us, visit our website: All applications are treated confidentially under the GDPR. By subscribing your application, you agree to the processing of your information in the context of recruitment and to it's inclusion in our candidate database. If you do not agree to the processing of this data, we ask you not to apply for this job. #J-18808-Ljbffr

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