At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place. Dow (NYSE: DOW) is one of the world’s leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com . About you and this role Dow has an exciting opportunity for an Azure Platform Engineer (Sr. IT Analyst) located in Midland, MI or Houston, TX. You will: Make significant technical contributions to critical data initiatives within our team at Dow. Be responsible for designing, implementing, and maintaining data platforms and analytics solutions on the Azure cloud platform to enable business objectives and accelerate Dow's digital transformation. Focus on developing scalable and efficient data processing pipelines, implementing data integration and transformation processes, and ensuring the availability, security, and performance of data and analytics solutions. You will be working with a cross-functional team that includes Data Engineers, Analytics Engineers, and Machine Learning Engineers while using: Azure DevOps PowerShell Python Azure Cloud Azure Databricks
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees