100% WFH Global project-Fluent English is mandatory, Spanish in nice to have Work time:10AM-7PM Local de Trabalho País:Brasil Modo de trabalho:Remoto Requisitos Qualifications for Data Engineer Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing big data data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable big data data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment Proficiency in building out scalable and reliable ETL pipelines and processes to ingest data from variety of data sources including but not limited to SharePoint, REST API, Blob Storage. Proficiency in Azure PaaS offerings and data engineering target architecture, including but not limited to Azure SQL database, Azure Data Factory, Azure Synapse, Azure Databrick, Azure Functions, Data lake, Azure Log Analytics. Proficiency in large dataset transformation using Python. Proficiency in relational databases and SQL, including but not limited to stored procedures, indexes, functions and triggers. Proficiency in Azure DevOps CI/CD and Git Repository. Deep understanding in data model design and relational database normalization Familiarity with Non SQL databases. E. g Cosmos DB. Formação Acadêmica: Não informado Salário: A combinar Cargo: Engenheiro de Dados Empresa: It2you Consultoria em Ti Seleção e agenciamento de mão-de-obra. Ramo: Informática/ Tecnologia (FJ)