mergeapiintegrationsandbox

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.

This listing is sourced directly from mergeapiintegrationsandbox's careers page and normalized into a canonical job model.