Gather requirements, design, develop, and support new and existing Business Intelligence solutions for users. Transform data into meaningful and accurate information that the business can consume. Use Query and SQL Design, including SQL and Store Procedures. Perform data collection and distribution, including database and report design. Utilize different ETL design and development methodologies. Document business requirements. Design, develop, implement, and support new and existing data integration jobs using Teradata Stored Procedures. Implement best practice solutions per development standards. Support solution architecture, design, development, and implementation of business intelligence and data warehouse projects. Produce ad hoc Reports and work closely with business partners in gathering detailed business requirements, establishing business definitions, translating to technical requirements for development team, and gaining approval. Create test plans and scenarios and conduct testing to ensure quality and requirements traceability to final deliverable. Work with data elements in the warehouse to support user needs. Troubleshoot, diagnose, and resolve data quality and performance issues. Provide accurate level of effort estimates for data integration development to management. Support data integration using ETL methodologies and SQLs in large scale environments using relations database systems like Teradata or Netezza. Support all areas of data warehousing including architecture, data sourcing/acquisition, integration, transformation, and presentation. Support SQL Query Design and Development in large-scale data warehouse environments. Work with telecom data related to customer operations.

RequiresBachelor's degree (or foreign equivalent) in Computer Science, CIS, IT or a related field. 7 years of experience in data integration using ETL methodologies and SQLs in large scale environments using relations database systems, including Teradata or Netezza; in all areas of data warehousing including: architecture, data sourcing/acquisition, integration, transformation, and presentation; in solution architecture, design, development, and implementation of business intelligence or data warehouse projects; and in SQL Query Design and Development in large-scale data warehouse environments.

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