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Lead IT Data Engineer (Onsite)

Tyson Foods
Springdale, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 1 months ago

Full Job Posting

Qualifications

  • Education: Bachelor's Degree or relevant experience.
  • Preferred Certification(s): Any relevant IT Certification.
  • 5+ years of relevant and practical experience.
  • Advanced skills in data streaming and real-time data processing.
  • Expertise in designing complex data architectures and scalable systems.
  • Deep knowledge of big data technologies and extensive experience with data security measures.
  • Other Skills
  • Ability to lead data architecture reviews and approvals.
  • Project Management: Leading complex data initiatives from conception to completion.
  • Leadership: Driving data strategy and best practices across the organization.
  • Stakeholder Management: Building and maintaining relationships with internal and external partners.
  • Strategic Vision: Aligning data initiatives with long-term business objectives.
  • Communication: Presenting complex data concepts to executive leadership.
  • Mentorship: Fostering the growth and development of the data engineering team.
  • Decision-Making: Making informed choices about data architecture and tools.
  • Change Management: Guiding the organization through data-related transformations.
  • Not eligible for immigration/work authorization support now or int he future *
  • Not eligible for relocation assistance *
  • All professional team members are expected to demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs. Individual Contributors should demonstrate the ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI. People Leaders should demonstrate the ability to drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of AI-supported outcomes.
  • No
  • 1ST SHIFT (United States of America)
  • Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.
  • Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.
  • The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.
  • Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.
  • We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.
  • If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice here.
  • Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

Experience

  • Special Skills:
  • Preferred: Knowledge of Procurement and/or Commodities Data Landscape
  • Soft Skills:
  • Relocation Assistance Eligible:
  • Work Shift:

Preferred Qualifications

  • Preferred Certification(s): Any relevant IT Certification.
  • Preferred: Knowledge of Procurement and/or Commodities Data Landscape

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