A pivotal member of our data services team, responsible for developing the data streaming platform, the common event bus as well as a number of other critical services to meet the data needs for our domain teams. We are looking for an engineer who is not just technically strong, but a collaborative problem-solver who actively contributes new ideas, flags inefficiencies, and is passionate about continuous improvement for themselves and their team.
Develop and maintain the Rackspace business intelligence framework. Lead the design and development of the Business Intelligence architecture and continually refine the BI strategy to align with corporate direction. Serve as the subject matter expert in extraction of information from EFD, Star and Snowflake schemas. Build operational and ad-hoc reports and executive dashboards.
Drive experimentation and digital performance optimization across digital platforms, serving as a strategic partner to product teams, providing expert guidance on test design, data analysis, and program valuation. The ideal candidate will bring a strong analytical mindset, deep technical expertise, and a passion for uncovering insights that drive business impact.
We are looking for an experienced Data Engineer who will use various methods to transform raw data into useful data systems. The incumbent will create algorithms and conduct statistical analysis to strive for efficiency by aligning data systems with business goals.
This role has a core impact to our data science and modelling group responsible for enriching datasets and adding value to our analytics content through close collaboration with onsite and offshore teams to deliver Analytics data and modelling objectives. In this role you will gain a strong understanding of various commodities and Platts Analytics businesses to design and implement advanced strategic solutions and migrate the legacy processes into new technologies that enable data governance, automation, data quality monitoring and maintenance.
As a Sr. Data Engineer you will enhance our B2B analytics platform by improving database schemas, data pipelines, and data structures in Snowflake to ensure optimally structured data is delivered to our customers on time and with high performance. Evaluate current solutions and implement strategic improvements across the entire data pipeline.