Logistics Data Engineer (Springdale, AR Terminal Office)

Tyson Foods•Springdale, AR

18h•Onsite

About The Position

The Data Engineer advances by incorporating data architecture principles to design and propose data solutions that may require architecture reviews. They have a solid understanding of data pipeline orchestration, including developing solutions that manage data flow sequences with appropriate monitoring. Their skill set includes developing in big data technologies and enhancing their theoretical knowledge of data warehousing in an analytics environment. Data Engineers work closely with cross-functional teams to evaluate data, develop reports, and provide actionable insights to drive efficiency and cost savings. Tyson's Talent Strategy is to Attract, Grow, Reward and Retain the best talent, and they believe that their Culture is the connecting thread that drives that strategy. They strive to be a talent magnet to establish a reputation for being a talent rich organization where team members can grow their career while growing the business. They are a high performing organization where team members are rewarded (Pay, Benefits and Recognition) for their contributions, and given the opportunity to support and/or volunteer with programs that help Tyson make a lasting social impact in the communities where they live and work. Tyson Foods, Inc. is an Equal Opportunity Employer.

Requirements

Bachelor’s or master’s degree in business, Analytics, Data Science, Supply Chain Management, or a related field.
1+ years relevant or practical experience.
Proficiency in SQL, data visualization and basic ETL tools.
Understanding of data warehousing concepts and basic data architecture.
Familiarity with data pipeline orchestration and monitoring.
Initial exposure to big data technologies.
Initiative: Proactively identifying and proposing data solutions.
Teamwork: Collaborating effectively with stakeholders across departments.
Communication: Ability to explain complex data concepts to non-technical audiences.
Critical Thinking: Analyzing data architecture needs and proposing improvements.
Adaptability: Quickly learning and applying new big data technologies.
Time Management: Balancing multiple projects and priorities effectively.
Attention to Detail: Ensuring data accuracy and quality in all processes.
RESUME REQUIRED TO BE CONSIDERED FOR THIS ROLE

Nice To Haves

Any relevant Certification.
4 years of related experience may be acceptable (in lieu of a degree).

Responsibilities

Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.
Write and optimize SQL and calculations within data visualization tools to enhance data models and performance.
Build, deploy, and support data visualization solutions that effectively communicate data insights.
Design, implement, and optimize data pipelines with a strong focus on SQL and scripting.
Develop and maintain ETL processes and contribute to data warehousing solutions, including understanding star schema and Kimball or Snowflake methodologies.
Enforce data governance policies and ensure compliance with data security standards.
Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources.
Contribute to the development of data architecture and support data streaming initiatives.
Implement basic data pipeline orchestration and assist in integrating big data technologies.
Build strong business relationships by understanding processes, requirements, systems, and terminology.
Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.