Data Modeler
2 weeks ago
Responsibilities:
Collaborate closely with analytics and data engineering teams to design and implement efficient data models that support mission objectives.
Utilize ERStudio to design and document conceptual, logical, and physical data models, ensuring alignment with business requirements and best practices.
Work with stakeholders to understand data requirements and translate them into scalable and maintainable data models.
Ensure data model designs are optimized for performance, scalability, and data integrity.
Provide guidance and support to data engineering team members in implementing data models within data pipelines.
Perform data analysis and profiling to identify opportunities for optimization and improvement in existing data models.
Work with Python and Pyspark to assist in data transformation and processing tasks when necessary.
Collaborate with data engineers and DevOps team to integrate data models into data pipeline workflows.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field.
Proven experience in designing and implementing data models using ERStudio or similar tools.
Strong understanding of data modeling concepts including conceptual, logical, and physical data modeling.
Experience with Python programming language is preferred.
Familiarity with Pyspark for data transformation tasks is a plus.
Knowledge of database technologies and SQL for querying and manipulating data.
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Attention to detail and strong analytical skills.
Ability to work independently and manage multiple priorities in a fast-paced environment.
If you're a dedicated Data Modeler looking for a new challenge, we encourage you to apply for this exciting opportunity. Please send your resume/CV and a cover letter highlighting your relevant experience to
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