Data Warehouse and Business Intelligence Developer
3 days ago
Corning is seeking a highly skilled Data Warehouse and Business Intelligence Developer to join our team. As a Data Warehouse and Business Intelligence Developer, you will be responsible for designing, developing, and implementing data warehouse and business intelligence solutions to support Corning's manufacturing environment.
Key Responsibilities:- Develop high-quality data warehouse and reporting solutions using Microsoft BI tools such as SSRS, SSAS, SSIS, and SQL Server.
- Design and implement ETL procedures for intake of data from various manufacturing systems.
- Collaborate with business and technology stakeholders to ensure data warehouse architecture development and utilization.
- Ensure all data warehouse architecture codes are maintained in a version control system.
- Work with the DBA team to analyze server health, database performance, existing SQL queries for performance improvements.
- 5+ years of experience in Data Warehouse and Business Intelligence Solutions.
- 5+ years of experience in Microsoft BI Tools such as SSRS, SSAS, SSIS, SQL Server.
- Experience using Software Development Lifecycle (SDLC Process).
- Experience in development of Data Warehouse, ETL and End User Facing Reports/Business Intelligence Dashboards.
- Experience using Agile project methodologies.
- Experience with Camstar (Manufacturing Execution System).
- Experience in Manufacturing Factory Floor processes and systems such as Manufacturing Execution System (MES), Equipment Management Systems (CMMS), Process Control Systems (SPC/OSI PI) and their underlying data model.
This position can be based in Corning, NY or Charlotte, NC (hybrid or within region). 0-25% travel domestic and international.
This position does not support immigration sponsorship.
The range for this position is $104,960.00 - $144,320.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.
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