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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time