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Tier-1 brand, metro location, popular Data Engineer title, and mid-level experience increase competition to high.
Core data engineering skills are transferable, but preferred EHS&S domain knowledge raises specialization to medium.
Explicit 5+ years, 2+ years platform experience and mandatory Azure/Databricks/ADF/Python stack make filters strict.
Own end-to-end development and deployment of EHS&S data solutions focusing on data ingestion, storage, and processing on Azure platforms.
Create and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and related Azure services for multiple EHS&S projects.
Collaborate with data scientists and analysts to support data needs and continuously improve data architecture and digital capabilities for Dow’s EHS&S initiatives.
Bachelor’s degree in Computer Science, Information Systems, related IT field, or EHS&S domain.
5+ years of professional work experience with at least 2 years in data platform experience (data ingestion, pipeline orchestration).
Proficient in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, and Infrastructure as Code deployment.
Advanced English proficiency mandatory; flexible schedule to coordinate with international time zones required.
Experienced data engineer with strong expertise in Azure data services, ETL/data pipelines, and cloud infrastructure automation.
Familiarity or background in Environment, Health, Safety & Sustainability (EHS&S) data or related domain preferred.
Capable of independently managing multiple projects with minimal supervision, and mentoring junior team members as needed.