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Hands-on technical lead for global Azure-based data analytics environments. Own escalation support for complex incidents, performance/scalability troubleshooting on large datasets and pipelines, guide support analysts, and partner with engineering to drive durable fixes across Databricks, SQL Server/DWH, and Azure data services.

The role involves leading the development and modernization of applications using .NET and Angular, focusing on secure design, documentation, and collaboration.

Provide support and enhancements for bench instrumentation applications and IT tools in a GxP environment, including administration and configuration tasks.

Lead deployment and automation of enterprise cloud, data, and AI platforms. Ensure production readiness, secure and scalable deployments. Optimize CI/CD pipelines, manage Kubernetes environments, and enforce security best practices.

The AI/ML Engineer will build customer data pipelines, develop a Customer Personalization Engine, and ensure data reliability while collaborating with full-stack engineers.

The role involves developing and maintaining mainframe applications using COBOL, JCL, DB2, VSAM, and CICS, while ensuring high-quality delivery and system performance.

The ETL Lead will design and manage scalable data pipelines, optimize data lake architectures, and lead data engineering initiatives in a cloud environment.

The role involves building and maintaining customer data pipelines, developing a Customer Personalization Engine using Snowflake, and advising on data feasibility and quality while collaborating with product teams.

Seeking a senior leader to oversee Application Support and Operations for enterprise applications on Microsoft Azure, focusing on operational excellence, automation, and team management.

The role involves developing and maintaining mainframe applications using COBOL, JCL, DB2, VSAM, and CICS, ensuring reliability and performance while collaborating with cross-functional teams.