Data Engineer

IBM is a leading technology company seeking a Data Engineer to join their Data & AI team. The role involves working with data from various platforms, focusing on Data Warehouse architecture, and engaging customers to deliver technology solutions that solve business problems.

Responsibilities:

• Working as part of a team, you’ll be responsible for working in various areas of an implementation. We’re looking for candidates who can not only complete the task at hand, but for those who can bring thought leadership and their own past experience to the work as well
• Leverage Neudesic’s Intellectual Property on implementations and become a thought leader on how we can continue to improve our capabilities resulting in efficient and consistent delivery for our customers
• Learn the customer’s business and be proactive about how we can further their success with the solutions we deliver
• Build relationships with your team and the customer to create a healthy work environment

Requirements:

• A minimum of 10 years' experience in consulting or contracting to deliver Data & Analytics solutions for customers
• A minimum of 10 years working with the Microsoft BI Stack (SQL, SSIS, SSAS, SSRS) and at least some experience working with the Azure services mentioned above. Candidates will need to complete a technical screen in the areas where you have experience to demonstrate your understanding of architecture, concepts and your level of expertise using various tools
• Excellent oral, written and presentation skills
• Bachelor's Degree
• Microsoft Azure Certified – Azure Data Engineer
• Experience with Predictive Analytics, Machine Learning, Artificial Intelligence
• Experience with front-end tool implementations (Tableau, Qlik, Spotfire, etc.)
• Experience with Amazon Web Services (AWS), Google Cloud Platform (GCP)