Data Engineer
4 semanas atrás
Overview You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally. You bring to Applaudo the following competencies: Bachelor’s degree or higher in Computer Science, Computer Engineering, related fields, or equivalent experience. Strong proficiency in Transact-SQL (T-SQL), query optimization, and performance tuning in SQL Server. Experience with data storage solutions in Azure (Blob Storage, Data Lake, Azure SQL). Knowledge of serverless architecture for data processing (e.g., Azure Functions, Event Grid). Solid experience with Azure Data Factory and Logic Apps for data integration and automation. Familiarity with Databricks for scalable data engineering. Familiarity with data streaming architectures in Azure (Event Hubs, Stream Analytics). Experience in data warehousing solutions and dimensional modeling using Azure Synapse or similar. Understanding of CI/CD principles and version control for data pipelines. English Full Professional Proficiency. Responsibilities Develop, construct, test and maintain architectures and datasets that meet functional / non-functional business requirements. Coordinate the development with stakeholders, project managers, data architects, data analysts and others. Perform data explorations to know the data to be processed. Identify ways to improve data reliability, efficiency and quality. Deliver aggregated data to business executives, analysts and end users so they can analyze it and apply the results to improving business operations. Prepare data for predictive and prescriptive modeling. Qualifications Strong proficiency in Azure services. Benefits Work from home Celebrations Entertainment area Great work environment Private medical insurance *Benefits may vary according to your location and/or availability. Request further information when applying. #J-18808-Ljbffr
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