In this role, the selected candidate will be responsible for shaping and/or supporting the delivery of data centre build, consolidation and migration projects from initial assessment and high level design through to effective delivery.
In this role, you will install, monitor, and maintain PostgreSQL & MySQL software, implement monitoring and alerting, implement backup and recovery processes, provide system and SQL performance tuning and assist in business process integration with various data sources.
In this role, you will serve as the business relationship/engagement manager to the business unit or function assigned to define and deliver the portfolio of data and analytics solutions and to insure alignment to business outcomes.
Assist in development of the Windows Development and Production Environment (WDPE), which is a project that is mandated to establish standards for development and production support for application systems on a Windows platform.
Develop, monitor and support our daily and nightly ETL processes: support various ETL packages developed in SSIS, which run both daily and nightly; take initiative in enhancing packages or troubleshooting packages when errors occur (daily and nightly).
The Business Intelligence Engineer will work with BI Architects, Data Architect, Data Warehouse developers as a team responsible for implementing Business Intelligence solutions including developing BI dashboards, ETL processes.
This position is primarily responsible for designing, developing, and supporting new and existing reports, designing, programming, deploying Business Intelligence (BI) and developing BI dashboards to meet the company needs.
In this position, you will lead teams of architects to align cross-functional and cross-LOB projects to Target State Architecture. Manages LOB-wide Total Cost of Ownership for projects and for Target State. Works with business leaders to create Conceptual Architectures that align business needs with Target State Architecture.
Provide leadership in architecting the Cloud Based Data Platform (Azure, AWS, Google Big Query) for US technology team; design high performing cost effective cloud based multi-tenant (multi- client) structures.