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HM - Data Modeller at Xander Talent

Remote:

Full Remote

Contract:

Fixed term

Experience:

Junior (1-2 years)

Work from:

India

Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, Proven experience in logical data modeling using Snowflake and Erwin modeling tools, Strong understanding of dimensional modeling, conceptual modeling, and physical data model creation, Proficiency in SQL and database query optimization techniques.

Key responsabilities:

Develop and maintain logical, dimensional, and conceptual data models to align with business requirements
Collaborate with teams to translate logical and conceptual models into efficient physical data models
Ensure data integrity and accuracy within all data models through validation techniques and documentation
Create thorough documentation for data models to ensure clear communication among stakeholders

Xander Talent Scaleup https://www.xandertalent.in

51 - 200 Employees

See more Xander Talent offers

Job description

Responsibilities:

Logical Data Modeling: Develop and maintain logical data models using best practices, ensuring accuracy and efficiency in the representation of complex business requirements.

Tool Proficiency: Demonstrate expertise in utilizing Snowflake and Erwin modeling tools for logical data modeling tasks, ensuring seamless collaboration and efficient workflow.

Dimensional Modeling: Design and implement dimensional models to support business intelligence and analytical reporting needs, optimizing data structures for performance and query efficiency.

Conceptual Modeling: Translate high-level business requirements into conceptual models, ensuring alignment between business objectives and data architecture.

Physical Data Model Creation: Collaborate with database administrators and engineers to translate logical and conceptual models into efficient physical data models, optimizing database performance and storage utilization.

Data Integrity: Ensure data integrity and accuracy within logical and physical data models, implementing validation techniques and data governance best practices.

Documentation: Create comprehensive documentation for all data models, including entity-relationship diagrams, data dictionaries, and metadata definitions, ensuring clear communication and understanding among stakeholders.

Collaboration: Collaborate effectively with cross-functional teams, including business analysts, developers, and architects, to gather requirements, resolve issues, and ensure the successful implementation of data models.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• Proven experience in logical data modeling using Snowflake and Erwin modeling tools.

• Strong understanding of dimensional modeling, conceptual modeling, and physical data model creation.

• Proficiency in SQL and database query optimization techniques.

• Excellent analytical and problem-solving skills with attention to detail.

• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Experience working in agile environments and ability to adapt to changing requirements.

• Knowledge of data governance principles and best practices is a plus.