Insight Value
Media • Technology
Insight Value is a global Social Transformation company that combines data & analytics, strategy, technology, and creative services to help brands build conversational, socially-driven identities. It offers services including data-driven insights, strategy and implementation, conversational creative, and community/digital neighborhood programs, partnering with major consumer brands and operating across multiple international offices. The firm focuses on making brands relevant and advocated in the social age by blending analytical rigor with creative social campaigns.
2 - 10 employees
Founded 2019
📱 Media
Senior Data Engineer – Senior
Job not on LinkedIn
October 19
🗣️🇧🇷🇵🇹 Portuguese Required
Insight Value
Media • Technology
Insight Value is a global Social Transformation company that combines data & analytics, strategy, technology, and creative services to help brands build conversational, socially-driven identities. It offers services including data-driven insights, strategy and implementation, conversational creative, and community/digital neighborhood programs, partnering with major consumer brands and operating across multiple international offices. The firm focuses on making brands relevant and advocated in the social age by blending analytical rigor with creative social campaigns.
2 - 10 employees
Founded 2019
📱 Media
📋 Description
• Join our team and contribute directly to large, complex projects; • Work in Microsoft Azure cloud environments.
🎯 Requirements
• Solid experience as a Data Engineer on large-scale projects; • Proven expertise with major cloud providers (Azure, AWS, or GCP), with a strong preference for Azure; • Advanced knowledge of data architecture and data engineering best practices; • Proficiency in SQL, ETL, and data modeling (dimensional and relational); • Experience with Azure tools and services such as Azure Data Factory, Databricks, Azure Synapse, and Microsoft Fabric; • Excellent communication skills for interacting with clients and internal teams; • Certifications such as Azure Data Engineer or similar are a plus; • Knowledge of other ETL solutions such as SSIS, Alteryx, Pentaho, and Talend; • Experience with Power BI and the Microsoft Power Platform.
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