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Must Haves:

Data Modelling Tools ER/Studio (Primary) / Erwin (Secondary) Data Definition Language (DDL) Physical Models Logical Models Databases DB2, Oracle, No - SQL (MongoDB, Snowflake), Sybase, UDB, PostgreSQL, SQL Server - Combination of multiple of these databases Transactional Database exp needed SQL Views, Joins, triggers basic queries to extract data for analysis

Job Responsibilities:

Develop logical and physical data models, in Traditional Data Stores (i.e., DB2, Oracle) and in NoSQL (i.e., Snowflake, MongoDB) Baseline DDLs Develop, test, and implement scripts, programs, and related processes to collect, manage, and publish DEV and PROD metadata from data models. Develop DDL implementation/back-out plans. Promote data models into production metadata environments. Support DDL PROD implementation Support post-production validation of DDL. Be able to support multiple efforts concurrently, in Waterfall, Agile or Modern Delivery.