Demonstrate technical expertise, establishes credibility with both technical resources and decision makers. Work with client systems, performance, and current and potential data loaded onto systems to facilitate demand creation.
The Business Intelligence Solution Architect will be the subject matter expert responsible for analyzing business requirements and problems to determine the architectural framework, technology requirements, overall design and the right set of tools for the best possible business intelligence/data warehousing solution to fulfill the needs of our clients.
The work as a data engineer on the research team involves designing tools to help security researchers quickly search through terabytes of data, help implement models at scale, designing backend indexers for large scale data sets, and other scale related challenges.
Manage overall integration activities, work closely with and coordinating engineering support, validation and certification of iQ insight technology integrated on the device, QA support, and communications with stakeholders on status and schedule
Research, evaluate, and deploy new tools, frameworks and patterns to build Telematics Data analytics platforms; design, develop, and implement batch and real time big data computing, distributed database.
Partner with Business stakeholders with the goal of providing them with the ability to make decisions and gain insights through data visualization. Development would include requirements gathering, Data-model and how to best visualize their data, followed by design, deployment, and on-going enhancements.
Responsible for build and deployment automation, as well as writing MR jobs, analyzing performance of the cluster, writing code to serve reporting data to the front end, and solving problems which haven't been solved before.
As a Data Engineer of the Portals and Data Analytics Engineering team, you will have a unique opportunity to use your creativity in cloud infrastructure to develop innovative big data analytics platform.