Ryder System Data Engineer - ETL Development in FRANKLIN, Tennessee

Position Description

The Data Engineer will work with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. This critical role is in support of Ryder's cloud-native data ingestion into the data lake via Ryder's API Gateway and Enterprise Integration services. This position will contribute to the successful support and operations of Ryder's data and analytics platform.

The Data Engineer will contribute to the innovative vision of Ryder's digital platform and be part of a team that harnesses this data to:

  • Develop and maintain an ETL and data management strategy

  • Integrate disparate data sources to prioritize, synthesize and develop solutions to key business problems

  • Utilize data modeling techniques to prepare data for reporting or analytical processes

  • Design data structures capable of being used in analytical dashboards, reports and queries to drive strategic business decisions, ad-hoc analysis and identify descriptive and prescriptive solutions for internal Ryder teams and our external customers

  • Think on your feet, communicate constantly and professionally, and above all else drive solutions to meet the expectations of our external and internal customer's business requirements

  • Proven history and experience in Alteryx a strong plus

  • Strong predictive analytics not required but a plus

The ideal candidate will have a passion for technology with good understanding of their applicability to business, a relentless focus on the customer experience and an ability to multitask, assimilate data, make decisions and prioritize complex work while paying attention to the details.

Requirements

  • Bachelor's degree Business Administration, Supply Chain, Computer Science, Data Analytics or equivalent

  • Master's degree Computer Science, Data Analytics, Operational Research, Mathematics or equivalent preferred

  • Two (2) to four (4) years or more experience in demonstrating advanced analytics, digital transformation, data management, dashboarding and/or product management skills in an educational/project or intern type environment with a Bachelor’s degree

  • One (1) year or more experience in demonstrating advanced analytics, digital transformation, data management, dashboarding and/or product management skills in an educational/project or intern type environment with a Master’s degree

  • Two (2) to four (4) years or more experience in analytics, data extraction, transformation & loading, data visualization, and agile development. Experience working in a cloud environment a plus (AWS/Azure) preferred

  • Ability to:

  • Articulate issues, present "pros and cons" and provide solutions to next supervisory level preferred

  • Express complex technical concepts in business terms

  • Partner with colleagues to identify the role that data, cloud, and intelligence play in the digital product, defining tactical opportunities to build into product roadmap

  • Partner with technology teams to identify the platform and cloud capabilities required to support product innovation, working closely with technology throughout the build, test, and release of the product using continuous improvement continuous deployment processes

  • Strong verbal and written communication skills

  • Time management, collaboration, organization and presentation skills. Proficiency in Agile Design Thinking methodology, with a focus on managing solution driven strategy plans to achieve goals

  • Knowledge of supply chain management and third party logistics industries (intermediate level)

  • Experience using tools like:

  • ETL tools (Paxata or SSIS)

  • Data manipulation tools (SQL or Python)

  • Object oriented development stacks (.net) (intermediate level)

  • Experience developing BI solutions with tools like:

  • Tableau

  • Power Bi

  • MicroStrategy (intermediate level)

  • Exposure to the development of predictive analytic solutions using predictive analytics tools like:

  • Alteryx

  • Python

  • R+ Stat/ML (intermediate level) preferred

Responsibilities

  • Enhance Data Maturity by interacting with the business to understand their decision making information needs and serve as a liaison with IT source system owners so data is structured, loaded and processed in the data lake in an accurate and timely manner. Establish standards, processes, methodologies and governance for data integration across the enterprise to ensure the data is relevant, clean and usable. Demonstrate Data Integration leadership across disciplines and domains to facilitate consensus, buy-in and adoption by engaging, teaching, training, and mentoring peers and associates

  • Develop Dashboards by understanding business needs, interpret the integrated data and translate this into usable visualizations to drive business decisions. Assist the business with interpreting results and how to utilize the dashboards. Support the business with evaluating needs and ad-hoc requests to prioritize efforts. Coordinate efforts across dash boarding resources and provide guidance and support

  • Utilize Advanced Analytics to develop solutions to address key business problems. This will be done through predictive and prescriptive modeling techniques along with the ability to think on your feet, communicate constantly and professionally, and above all else drive solutions to meet the expectations of our external and internal customer’s business requirements

  • The Data Engineer I will be a specialist of data integration and analytics, bringing the required qualitative (to understand why they are doing) and quantitative (to analyze data to surface meaningful insights) skills

  • This position will be an expert in the Ryder business, understanding the complexity of the supply chain world and the role that advanced products play within the Supply Chain ecosystem

  • Performs other duties as assigned.

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.

Requisition ID 2018-65281

Category Engineering

Employment Type Regular - Full Time (4)

Travel Requirements 0-10%

Position Code 7966