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We are looking for a D365 CE CRM Developer responsible for designing, implementing, and maintaining solutions in Microsoft Dynamics 365. Key responsibilities include custom development, integrations, data migration, and system maintenance. The ideal candidate should have strong experience in custom solutions and work closely with team members to deliver high-quality outputs.

The Core Network Admin (DDI) will review and validate customer change requests, troubleshoot DNS, DHCP, IPAM, and NTP issues, and implement changes in a hybrid environment while generating operational reports and training team members as needed.

The Segment CDP Consultant will implement Segment CDP projects, manage data ingestion, model customer profiles, and facilitate integration with external systems. Responsibilities include collaborating with consultants and stakeholders to meet internal needs, designing dashboard insights, and ensuring data quality and resolution standards are upheld.

The IBM Netezza DataStage Engineer will maintain and optimize data integration and warehousing platforms, specifically IBM Netezza and DataStage. Responsibilities include troubleshooting ETL processes, ensuring system health, optimizing performance, and collaborating with development teams to fulfill business needs.

The Full Stack Engineer role involves designing and developing applications using a modern tech stack primarily consisting of NodeJS and ReactJS, with a strong emphasis on backend microservices. Candidates are expected to have extensive experience in Java Spring Boot, distributed computing systems, and machine learning support.

The Data Specialist role involves developing Master Data Management (MDM) strategies, leading data governance initiatives, documenting data requirements, implementing MDM solutions, ensuring data quality and integrity, and collaborating with IT leadership and cross-functional teams to align data management objectives with business goals.

The Data Specialist at Brillio will design, develop, and manage data models for large-scale data warehousing projects, requiring expertise in data modeling, advanced SQL, and data engineering. The role demands collaboration with various departments and strong data analysis skills, particularly in finance.