IT - Consultant | Database | Data Modeling

UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions Limited to 1 submission per supplier. Please submit your best. We prioritize endorsing those with complete and accurate information Avoid submitting duplicate profiles. We will Reject/Disqualify immediately. Make sure that candidate’s interview schedules are updated. Please inform the candidate to keep their lines open. Please submit profiles within the max proposed rate., Design and develop conceptual, logical, and physical data models for enterprise data warehouse and analytics platforms Implement dimensional models (Star, Snowflake) and Data Vault models Lead data modeling initiatives on cloud platforms (AWS, Azure, GCP) Define source-to-target mappings and collaborate with ETL/ELT teams Ensure data governance, lineage, and metadata standards Optimize models for performance, scalability, and cost efficiency Collaborate with business analysts, data engineers, DBAs, and governance teams Support cloud migration and modernization programs Drive data quality, validation, and governance frameworks

Data modelling and cloud working experience Nice to Have Skills: SQL, We are seeking an experienced Senior Data Modeler (8+ years) with strong expertise in enterprise data warehousing and cloud-based data platforms. The role involves designing and implementing scalable, high-performance data models to support analytics, reporting, and cloud modernization initiatives., 8+ years in data modeling, data warehousing, and analytics Strong expertise in:

1. Dimensional modeling (Star & Snowflake)

2. Data Vault modeling Experience with cloud platforms:

3. Snowflake (preferred)

4. AWS / Azure data services Strong understanding of:

5. ETL/ELT processes

6. Data pipelines and transformations Expertise in:

7. Advanced SQL

8. Database design & performance tuning Experience with data governance, lineage, and metadata tools Strong analytical and problem-solving skills Preferred Skills Experience with:

9. Cloud-native tools (AWS Glue, Azure Data Factory, Snowpipe)
10. Data cataloging / lineage tools Understanding of modern architectures (Lakehouse, Data Mesh) Exposure to Agile / Scrum Domain experience: Retail, Healthcare, Banking Soft Skills Strong stakeholder management and communication Ability to work in cross-functional and distributed teams Experience in Agile environments Minimum Years of Experience: 8+ years Certifications Needed