Number of Applicants
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Proficiency in data modeling tools such as ER/Studio, ERwin or similar. |
Deep understanding of relational database design, normalization/denormalization, and data warehousing principles. |
Experience with SQL and working knowledge of database platforms like Oracle, SQL Server, PostgreSQL, or Snowflake. |
Strong knowledge of metadata management, data lineage, and data governance practices. |
Understanding of data integration, ETL processes, and data quality frameworks. |
Ability to interpret and translate complex business requirements into scalable data models. |
Excellent communication and documentation skills to collaborate with cross-functional teams. |
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