Data Engineering Manager in Metropolitan

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Job DescriptionJob DescriptionInfomatics is partnered with a large finance company that is hiring a Data Engineering Manager on a direct/FTE basis in Detroit Michigan. It is an on-site position. All applicants must be willing & eligible to be hired directly on W2 without sponsorship. No 3rd parties need apply. Responsibilities:

• Responsible for managing a team of data & analytics engineers focused on delivering and maintain solutions that support our company's customers and internal operations.
• Manage engineers and analytics professionals to design and deliver solutions in an Agile context.
• Management of team progression and maturity and Agile delivery and DevOps/CI-CD automation.
• Solutions analysis and design, balancing technical and business factors.
• High-level and low-level design of real time and batch system interfaces and data enrichment pipelines in a cloud- data ecosystem. Tr
• Toubleshooting and support of data & analytics solutions end-to-end.
• Promoting and enforcing design and development standards and best practices.
• Mid-level business partner engagement; management of relationship and inter-group planning among technology leadership/peers.
• Vendor management for service and software delivery.
• Management of team capacity, talent, learning & growth, and financials.

Background & Experience Required

• Bachelor's degree in Computer Science, Information Systems, or other relevant field of study.
• 5+ years of data engineering and data analysis experience.
• Must have experience building Data Warehouse based on DV-2 Data Vaulting model.
• Experience related to data warehousing design and development
• Strong knowledge and experience with one or more SDLC methodologies and/or principles such as Agile Scrum or Kanban, or other related Agile methods
• Strong knowledge of DevSecOps pipeline creation, maturity, and operations
• Experience leading, mentoring and managing individual contributors
• Strong requirements gathering and design abilities.
• Strong analytic and problem-solving skills
• Strong verbal and written communication skills Ability to multi-task and manage through complexity

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