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Tier-1 brand, metro location, common senior data-engineer title, and broad skill requirements drive high competition.
OT-focused data engineering with MQTT, Azure, Databricks and cybersecurity emphasis limits cross-industry fit.
Mandatory 12+ years, specific Azure/Databricks/OT skills and certifications make shortlisting highly stringent.
Design, develop, and maintain scalable OT data pipelines from windfarm SCADA systems to Polaris cloud data lake ensuring system reliability and data integrity.
Manage CI/CD pipelines and implement DevOps best practices to enable secure, efficient deployment and operation of data solutions.
Lead resolution of complex production issues, guide architectural decisions, mentor junior engineers, and act as SME for OT data collection and complex dataflows.
Bachelor’s degree in Computer Science, Engineering, IT, or related field.
12+ years experience in data engineering with cloud-based data platforms.
Proven senior/lead data engineering experience including mentoring and independent complex system management.
Mandatory skills: SQL, Data Integration, SSIS, Azure Data Factory, Databricks, Python, MQTT, Microsoft Azure, CI/CD, DevOps, Git.
Experienced in operating within OT data environments, especially those integrating multiple data sources for analytics and reporting.
Comfortable leading in complex, high-volume data pipeline environments with focus on secure data transmission and cyber security requirements.
Demonstrates strong ownership and accountability balanced with mentoring capabilities, and experience with cloud certifications like Microsoft Azure Data Engineer Associate or similar.