Data Modelling+ Data Vault

This is a remote position.

Data Modeler - Data Vault

Location: Bangalore

Job Type: Full-Time

Primary Responsibilities:

As a Data Modeler, you will be responsible for:

1. Data Vault Modeling: Utilizing your expertise in Data Vault modeling approach to design, implement, and document data architecture solutions.
   

2. Snowflake: Demonstrating extensive knowledge of Snowflake, a key component of our data ecosystem.
   

3. Data Modeling: Creating conceptual, logical, and physical data models that align with business objectives and data architecture standards.
   

4. Platform Implementation: Implementing relational databases, operational data stores (ODS), data marts, and data lakes on target platforms.
   

5. Standards and Best Practices: Defining and governing data modeling and design standards, tools, and best practices for enterprise data models.
   

6. Hands-On Expertise: Hands-on modeling, design, configuration, installation, and performance tuning of data models.
   

7. Metadata Management: Managing metadata effectively and using data modeling tools such as Erwin or ER Studio.
   

8. Collaboration: Working closely with database engineers to create optimal physical data models for datasets.
   

9. Alignment: Interacting with subject matter experts (business) and architects to ensure alignment between data models and technology recommendations for projects.
   

Secondary Responsibilities:

In addition to your primary role, you should have:

• TSQL Knowledge: Good knowledge of Transact-SQL (TSQL) for efficient data querying and manipulation.
  

Qualifications:

To succeed in this role, you should possess the following qualifications:

• Education: A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  
• Experience: Proven experience in Data Vault modeling and Snowflake is essential.
  
• Skills: Strong skills in data modeling, database design, and metadata management. Proficiency in data modeling tools like Erwin or ER Studio is preferred.
  
• Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams.
  
• Problem-Solving: Strong analytical and problem-solving abilities to address complex data modeling challenges.
  
• Adaptability: Ability to adapt to evolving data technologies and industry best practices.