Position Details
About this role
This role involves leading data engineering efforts, designing scalable data solutions across cloud platforms, and integrating AI/ML capabilities within Tyson Foods' data infrastructure.
Key Responsibilities
- Drive data strategy and architecture
- Build scalable data pipelines
- Implement AI and ML solutions
- Establish data governance frameworks
- Mentor engineering team
Technical Overview
The position requires expertise in SQL, Python, cloud platforms (AWS, GCP, Azure), data modeling, data governance, and AI/MLops tools like Kubernetes, Terraform, Docker, Snowflake, and BigQuery.
Ideal Candidate
The ideal candidate is a senior data engineer with expertise in cloud platforms, data modeling, and AI/MLops, capable of leading enterprise data initiatives and mentoring engineering teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No cloud platform experience, Lack of data engineering background, Unwilling to work in Springdale, Arkansas
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