Enterprise Data Management Software Specialist
7 days ago
Mlp is seeking a highly skilled Enterprise Data Management Software Specialist to join our team. This role involves building a modern user interface for data management and visualization using Angular and C#.
About the Role
The ideal candidate will have broad experience in building highly integrated, high-performance web applications for enterprise use cases. They should have previously worked in agile teams building cloud-based platforms and delivering solutions in an iterative team-focused manner.
Responsibilities
- Participate in the architecture, design, and build of front-end and back-end components in C# and Angular
- Work closely with business partners and data scientists to understand and translate business and technical requirements into cross-system designs
- Build application components including UI/UX, business services, and reporting solutions
- Collaborate with stakeholders on project planning and prioritization to produce development roadmaps and delivery timelines
Qualifications/Skills Required
- 5+ years of professional software development experience
- 5+ years of programming experience in C# and .NET Core
- 2+ years of UI development in Angular
- 5+ years of Relational and Columnar Database development experience with strong knowledge of writing complex SQL and Stored Procedures
- Experience building and consuming RESTful services in a containerized environment
- Knowledge of ML models along with AWS services to host and process models
- Knowledge of AWS services and developing cloud-native applications
Other Qualifications
- Excellent listening and communication skills
- Proven ability to work with business teams, understanding complex calculations, and successfully implementing commercial-like solutions
- Self-starter and critical thinker, taking ownership of own projects and making improvement suggestions for the entire infrastructure
- Proactive, assertive, and attentive to details
- Ability to work independently and in a collaborative environment
- Excellent self-management and problem-solving skills
- Ability to learn quickly and work on multiple streams of work in parallel
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