Job Title: Data Modeler (MongoDB)
Location: Dallas, TX (Onsite)
Duration: Contract
Experience: 9+ years
Job Description:
We are seeking an experienced and talented Data Modeler with a strong background in MongoDB to join our team in Dallas, TX. As a Data Modeler, you will play a pivotal role in shaping our data architecture, with a specific focus on MongoDB and document databases. The ideal candidate will have a minimum of 9 years of relevant experience and a deep understanding of data consumption patterns, modeling, and problem-solving.
Key Responsibilities:
- Design, develop, and maintain data models for MongoDB databases, ensuring efficient data storage and retrieval.
- Analyze and understand data consumption patterns to optimize database performance.
- Collaborate with cross-functional teams to gather requirements and translate them into effective data models.
- Identify and solve complex data modeling challenges, making data-driven decisions to enhance database performance.
- Provide guidance and expertise on best practices for MongoDB modeling and document databases.
- Work closely with developers and stakeholders to ensure data models align with project requirements.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 9 years of experience as a Data Modeler, with a focus on MongoDB.
- Profound knowledge of document databases and their consumption patterns.
- Strong understanding of data modeling best practices and principles.
- Proven experience in designing efficient and scalable MongoDB data models.
- Exceptional problem-solving skills and the ability to think critically about data architecture.
- Strong communication and collaboration skills, with the ability to work effectively in a team.
If you are a seasoned Data Modeler with significant experience in MongoDB and are looking for an exciting opportunity to shape the data architecture of a dynamic organization, we encourage you to apply. Join us in Dallas, TX, and be part of a team that values problem solvers over order takers in the world of Data Modeling.