Integration Developer - Data Warehousing (6-8 years )

Function Systems Product Software - Enhances data integration team accomplishments and competence by planning delivery of solutions answering technical and procedural questions for less experienced team members teaching improved processes mentoring team members. - Studies data sources by interviewing users defining analyzing and validating data objects identifying the relationship among data objects. - Plans data integration process by developing common definitions of sourced data designing common keys in physical data structure - Establishing data integration specifications examining data applications examining data models and data warehouse schema - Identifying factors that negatively impact integration forecasting resource requirements establishing delivery timetables. - Delivers data integration by implementing shared databases integrating data shared across legacy new development and purchased package environments - Developing system modification specifications mapping data establishing interfaces - Developing and modifying functions programs routines and stored procedures to export transform and load data meeting performance parameters resolving and escalating integration issues coordinating actions among users operations staff and outside vendors recommending adjustments as objectives change documenting operational procedures and data connections. - Validates data integration by developing and executing test plans and scenarios including data design tool design data extract transform networks and hardware. - Maintains data warehouse performance by identifying and resolving data conflicts upgrading data definitions - Improves data integration by designing and evaluating new data interchange formats improving physical design rewriting data policy standards and procedures - Maintains team accomplishments by communicating essential information coordinating actions obtaining expert input reviewing open issues and action items contributing information to team meetings and reports transferring knowledge of data integration process techniques and issues to application and support teams. - Updates job knowledge by tracking ETL strategies and technologies participating in educational opportunities reading professional publications maintaining personal networks participating in professional organizations.

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