Enterprise Data Modeler
The Resume Builder
Description :Mandatory- Strong Enterprise Data Modeller profile (Modern Data Platforms)- Mandatory (Experience 1) - Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms- Mandatory (Experience 2) - Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools- Mandatory (Experience 3) - Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.- Mandatory (Experience 4) - Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.- Mandatory (Experience 5) - Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams- Mandatory (Education) - Bachelors or Masters degree in Computer Science, Information Systems, or a related technical field.- Mandatory (Note) - Total experience should not be greater than 15 yearsPreferred :- Preferred (Experience 1) - Should have familiarity with data governance, metadata management, lineage, and business glossary tools such as Collibra, Alation, or Microsoft Purview.- Preferred (Experience 2) - Exposure to data integration pipelines and ETL frameworks such as Informatica, DBT, Airflow, or similar tools.- Preferred (Data Management) - Understanding of master data management (MDM) and reference data management principles.- Preferred (Domain) - Experience working with high-tech or manufacturing data domains, including customer, product, or supply chain data models (ref:hirist.tech)
Vacancy posted a month ago
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