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Role Overview: The EDW (Enterprise Data Warehouse) Developer will be responsible for developing, managing, and optimizing GDW (Global Data Warehouse) and data marts. This role requires a deep understanding of data integration, ETL processes, business intelligence tools, and database management across various environments. Key Responsibilities: Develop and manage data marts and GDW systems to ensure data consistency and accuracy. Design, implement, and maintain ETL workflows using tools like Informatica Data Integration Suite. Perform data analysis and reporting using MS Business Intelligence, QlikSense Discovery, SAS, Microsoft R, and Experian PowerCurve. Work with multiple databases (AS400 DB2, Teradata, Oracle, SQL Server, PostgreSQL) to support data storage and transformation needs. Utilize tools like Jenkins, BitBucket, SonarCube, and Control-M for version control and job scheduling. Use BI tools such as Microsoft Power BI, Business Objects, and Qlik Sense for visualization and reporting. Support and troubleshoot the data environment using platforms like AS400, AIX, Linux, and Windows. Leverage technologies such as Cloudera Data Science Workbench, Spark, Hive, and Kafka for big data solutions. Collaborate with stakeholders to identify business requirements and ensure proper data flow and integration. Required Skills and Tools: ETL & Data Integration: Informatica BDM, IDQ, IDL, Teradata InteliFlex. Data Warehousing: Teradata (TD Studio, MDM, FSLDM/GCFR, ViewPoint). BI Tools: Power BI, QlikSense, Business Objects, SAS, Microsoft R. Big Data: Cloudera, Spark, Hive, Impala, Kafka. Version Control & Automation: JIRA, BitBucket, Jenkins, Control-M, SonarCube. Operating Systems: AS400, AIX, Linux, Windows. Database Management: AS400 DB2, Teradata, Oracle, SQL Server, PostgreSQL. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Attention to detail and a focus on data accuracy. This role is ideal for someone with 3-5 years of experience (L2 level) who thrives in a dynamic data-driven environment.