mergeapiintegrationsandbox
Data Designer and Model
San Jose
Sponsorship not specifiedDetected 23 days ago
SQLNoSQLPostgreSQLAWSGCPAzureCloud PlatformsMachine LearningData AnalysisData EngineeringData ScienceData VisualizationProject ManagementAgileCommunicationCollaborationProblem Solving
About the role
- We are seeking a talented and detail-oriented Data Designer and Model to join our team.
- The ideal candidate will be responsible for designing and structuring data models, ensuring the creation and maintenance of efficient, scalable, and effective data solutions.
Responsibilities
- Data Modeling: Design, develop, and maintain robust data models, including logical, physical, and conceptual models. Ensure models align with business goals and system requirements.
- Data Architecture: Create and manage data architecture frameworks that support the organization's business intelligence, reporting, and data integration needs.
- Data Analysis and Design: Analyze business requirements and translate them into functional data models. Collaborate with stakeholders to understand data needs and optimize the design accordingly.
- Data Quality Assurance: Ensure data integrity, accuracy, and quality by developing effective validation rules and standards for the data models.
- Database Design: Develop normalized and denormalized database structures to optimize data storage, retrieval, and processing.
- ETL and Data Integration: Work with data engineers to design and implement ETL (Extract, Transform, Load) processes, ensuring seamless integration of diverse data sources into the data warehouse.
- Collaboration: Collaborate with cross-functional teams, including data engineers, analysts, and business users, to ensure the effective design of data systems.
- Documentation: Document data models, design specifications, and data definitions, maintaining clear records for future reference and scalability.
- Design, develop, and maintain robust data models, including logical, physical, and conceptual models.
- Collaborate with stakeholders to understand data needs and optimize the design accordingly.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
- Strong knowledge of database management systems (e.g., SQL, NoSQL, Oracle, PostgreSQL).
- Experience with data warehousing and ETL tools.
- Proficiency in data modeling tools such as Erwin, PowerDesigner, or similar.
- Excellent problem-solving skills with an ability to think logically and analytically.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Proven experience in data modeling, data design, and database management.
- Desired Skills:
Nice to have
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
Skills
- Experience with business intelligence (BI) tools and data visualization platforms (e.g., Power BI, Tableau).
- Understanding of advanced data management concepts (e.g., data governance, master data management).
- Knowledge of machine learning techniques and their application to data modeling.
- Familiarity with Agile methodologies and project management tools.
- Personal Attributes:
- Detail-oriented and meticulous in data design and validation.
- Continuous learner, passionate about evolving data technologies and techniques.
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