Development Engineer I INT

Job Details:

Job Description – Site Reliability/Data Observability Engineer

The role of Site Reliability Engineer in the Data & Analytics organization is to develop and support frameworks and mechanisms that monitor Data, Data pipelines, Usage, User operations, Data Infrastructure, Compute statistics to proactively ensure data accuracy, reliability, system scalability, health, and performance of our Analytics platforms on GCP/AWS. The role will play a crucial part in designing and implementing robust, scalable solutions while working with the Cloud/Data Engineering team. We are seeking a Site Reliability Engineer over 3-5 years of technical expertise in Data Observability, Data Platforms, Cloud infrastructure and Cloud operations space.

At Tyson Foods, the Site Reliability Engineer will have the opportunity to work on cutting-edge technologies and collaborate with talented professionals in a dynamic environment. We offer a culture that values innovation, growth, and work-life balance, along with opportunities for career advancement and professional development.

Primary Job Responsibilities: 

• Collaborate with cross-functional teams to solve data and data pipeline issues, optimize system performance, capacity, and cost-efficiency.
• Implement and manage monitoring, logging, and observability solutions to ensure proactive identification and resolution for data and platforms issues.
• Leverage or Build mechanisms for root cause analysis and implement corrective actions to prevent recurrence.
• Develop data collection strategy, metric definition, anomaly detection, alerting, data pipeline monitoring, data quality assessment, visualization creation.
• Develop automation scripts and leverage open-source or market tools to implement Data Observability framework, streamline operational processes and improve efficiency.    
• Continuous collaboration and improvement initiatives to enhance reliability, scalability, and performance of data platform.
• This role requires strong technical expertise as well as excellent problem-solving and communication skills. 

Qualifications:

• Minimum 3+ years of experience in a Site Reliability Engineering or similar role, with a strong focus on data observability, cloud infrastructure and operations.
• Experience with data observability tools (e.g. Monte Carlo, Bigeye, Collibra, Acceldata, Open Metadata, Data Hub, Collate, Anomalo etc) or observability tools (e.g., Prometheus, Grafana, Datadog, New Relic).
• 2+ years and deep expertise in cloud platforms such as GCP, AWS or Azure.
• Experience or strong knowledge on Data analytics, Data Ingestions (like Fivetran, HANA/SLT), Data processing (like dbt) and Visualization tools (like Power BI)
• Experience or strong knowledge on Data Quality.
• Experience with CI/CD pipelines and DevOps practices.
• 2+ years in scripting and programming skills (e.g., Python, Bash).
• Excellent communication skills with the ability to collaborate effectively across teams and influence stakeholders.
• Strong analytical and troubleshooting skills, with the ability to analyze complex issues and drive solutions.
• Bachelor’s degree in computer science, Engineering, or a related field
• Familiar with Agile Methodology concepts.

Good to have:

• Master’s degree in computer science, engineering field.
• Experience in containerization and orchestration technologies (e.g., Kubernetes, Docker).
• Proficiency in infrastructure as code (IaC) tools such as Terraform, CloudFormation, or Ansible.
• Experience in security best practices and compliance requirements in cloud environments.
• Certification in relevant cloud platforms (GCP, AWS, AZURE or Palantir).

Familiarity with ITIL or other service management frameworks.

Relocation Assistance Eligible:

Work Shift:

Tyson is an Equal Opportunity/Affirmative Action 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.