Data Designer and Model

Job Overview:

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. This role requires a strong understanding of data architecture, data flow, and the application of modeling techniques to meet business and analytical needs.

Key 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.
• Continuous Improvement: Stay up to date with emerging data modeling trends, technologies, and industry best practices, and continuously enhance the organization’s data strategies.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
• Proven experience in data modeling, data design, and database management.
• 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.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• 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.

Desired 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.
• Ability to work independently as well as part of a collaborative team.
• A strong communicator who can convey complex data topics to both technical and non-technical team members.
• Continuous learner, passionate about evolving data technologies and techniques.

How to Apply:
Interested candidates should submit their resume, along with a cover letter outlining their relevant experience and skills, to [Insert application email or link].

We look forward to reviewing your application!

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