Ryder System Senior Data Engineer in Orlando, Florida
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The Senior Data Engineer's role is to know and understand the business logic required to turn a complex idea into a sustainable value add process as a member of the Ryder Product team. The Senior Data Engineer will help ensure the data is usable and viable with near real-time reporting to deliver solutions to the problems presented. Over time the Senior Data Engineer will become an expert of systems.
This position will work on cutting edge data technology by being a key contributor on Ryder's Azure Data Lake and analytics initiatives.
On this team a Senior Data Engineer will get the chance to be the expert of data, collaborating with Data Analysts and Scientists, using all the skills in order to exploit data to drive the business forward. The Engineer will help push the envelope of what is possible in the big data space for streaming live data into a data lake; moving data from raw replication, to cleansed, to an aggregated solution for the analytics team to leverage.
Perform the extraction, transformations and loading from the source systems and the data lake to the analytics products.
Enhance data maturity and integration for Ryder’s products by interacting with operations to standardize the core value-add functionality, enabling a multiplier effect.
A specialist of data integration and analytics, bringing the required qualitative and quantitative skills to enable the product teams.
- Performs other duties as assigned.
Skills and Abilities
Experience using tools like:• ETL tools (Alteryx or SSIS)• Data manipulation tools (SQL)• Object oriented development stacks (.net)
Exposure to the development of predictive analytic solutions using predictive analytics tools like:• Alteryx, R, Python• Power BI, Tableau (preferred)
Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms
Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies
Bachelor's degree required in Computer Science or equivalent
Master's degree preferred in Computer Science, MBA or equivalent
Two (2) years or more Applied Project(s) Experience: Experience in demonstrating, digital transformation, data management in an educational/project or intern type environment required
Two (2) years or more experience in data extraction, transformation & loading and agile development. Experience working in a cloud environment a plus. preferred
DOT Regulated: No
Job Category: Data Science & Analytics
Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
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