iLink Systems

4 weeks ago

BangalorePuneNoida, India Ilink Systems Pvt Ltd Full time

Job Description :

As a Dimensional Data Modeler, you will be responsible for designing and implementing data models that support our organization's business intelligence and reporting needs. Your role will involve collaborating with stakeholders to understand their requirements, analyzing data sources, and creating efficient and scalable dimensional data models.

Responsibilities :

1. Collaborate with business users and stakeholders to gather and understand requirements for data modeling and reporting.

2. Analyze data sources, identify relevant data elements, and determine data quality and integrity issues.

3. Design and develop efficient and scalable dimensional data models using industry best practices and standards.

4. Create and maintain data dictionaries, data mappings, and data lineage documentation.

5. Collaborate with ETL developers to ensure the data models align with the data integration processes.

6. Perform data profiling and analysis to identify data quality issues and recommend improvements.

7. Optimize and tune data models for performance and scalability.

8. Validate and test data models with sample data to ensure accuracy and completeness.

9. Assist with data governance initiatives by ensuring compliance with data standards and policies.

10. Stay updated with industry trends and advancements in data modeling and business intelligence technologies.

Requirements :

1. Bachelor's degree in computer science, information systems, or a related field.

2. Minimum of 5 years of experience in dimensional data modeling, preferably in a business intelligence or data warehousing environment.

3. Proficient in designing dimensional data models using industry standard methodologies.

4. Strong understanding of dimensional modeling concepts, such as fact tables, dimension tables, and star schemas.

5. Strong SQL skills and proficiency in data querying and analysis.

6. Knowledge of ETL processes and data integration techniques.

7. Familiarity with data governance and data quality principles.

8. Excellent problem-solving and analytical skills.

9. Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

10. Ability to work independently and manage multiple priorities in a fast-paced environment.

11. Experience with Power BI or any other BI tools

(ref:hirist.tech)

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