Job Details: The Lead IT Data Modeler takes a leadership role in crafting data models and architectures that meet current business needs and are scalable for future challenges. They provide advanced mentorship to junior and senior data modelers, fostering a culture of continuous improvement and innovation in data management. This role demands deep expertise in query optimization, execution plans, and complex SQL for large datasets. They are proficient in various database systems like MySQL, PostgreSQL, Oracle, and Microsoft SQL Server and employ version control systems such as Git to manage changes efficiently. The Lead Data Modeler also integrates data engineering practices like ETL, job orchestration, and monitoring to enhance data transformation processes, ensuring robust data systems that support critical business functions. Essential Duties and Responsibilities: Proficiency in using and managing relational database systems such as BigQuery, MySQL, PostgreSQL, Oracle, or Microsoft SQL Server. Knowledge of SQL for querying and manipulating data, including creating, modifying, and optimizing database queries. Proficiency in the fundamentals of data modeling, including entity-relationship diagrams (ERDs), data flow diagrams, and dimensional modeling. Strong documentation skills to maintain clear and up-to-date data model diagrams, schema descriptions, and metadata. Familiarity with version control systems like Git for tracking changes to data models and related code. Proficient in complex SQL queries, common table expressions, and optimization techniques for managing and querying large datasets. Understanding of data governance principles, data stewardship, and data cataloging. Skill in optimizing database and query performance, including query execution plans, indexing, and caching strategies. Capability to mentor junior data modelers and provide leadership in data modeling initiatives. Ability to design comprehensive data architectures that align with business needs and support long-term data strategies. Expertise in designing data models that cover the entire enterprise, ensuring data consistency and alignment with business processes. Develop and execute data strategies that align with the organizations business objectives and long-term data needs. Mastery of complex data modeling techniques, including handling intricate relationships, multi-dimensional modeling, and advanced normalization. Lead and mentor a team of data modelers, providing guidance, training, and oversight. Develop and execute a strategic plan for data modeling initiatives, aligning them with the organizations vision. Perform other assigned job-related duties that align with our organizations vision, mission, and values and fall within your scope of practice. Qualifications: Education: Bachelors Degree or relevant experience. Preferred Certification(s): Any relevant IT Certification. Experience: 5+ years of relevant and practical experience. Special Skills: Proficiency in designing comprehensive data models that align with business processes. Advanced knowledge of SQL, data warehousing, and dimensional modeling. Skills in data governance, cataloging, and stewardship. Experience in enterprise-level data strategy and management of complex data architectures. Soft Skills: Visionary Leadership: Crafting scalable foundational data models for current and future business needs. Mentorship: Providing advanced guidance to both junior and senior data modelers Innovation: Fostering a culture of continuous improvement in data management practices. Strategic Communication: Articulating complex data strategies to executive stakeholders. Change Management: Guiding teams through evolving data technologies and methodologies. Conflict Resolution: Addressing challenges within data modeling teams and cross-functional collaborations. Decision-Making: Influencing informed choices about data architecture and modeling approaches. Emotional Intelligence: Understanding and managing team dynamics for optimal performance. Negotiation: Balancing technical requirements with business needs and resource constraints. Thought Leadership: Driving industry best practices in data modeling and architecture. Relocation Assistance Eligible: No 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.

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: No 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.

Job Details: Job description: Graduate / Post-Graduate degree in Engineering or Equivalent Degree 5+ years of experience in SAP S4-HANA implementation / migration / enhancements using HR ABAP within the HR modules High proficiency in software design principles and object-oriented design and development. Strong hands-on experience in ABAP, OOABAP (mandatory). Good experience in Interface implementations using OData, IDocs, RFCs and Form developments. Exposure to HANA Coding like CDS, AMDP will be an advantage Excellent analytical, problem-solving, and debugging skills. Exhibit excellent presentation and communications skills, both verbal and written Effectively prioritize workload to meet deadlines and achieve work objectives Proficiently use Microsoft Office Products such as Projects, PowerPoint, and Excel. Relocation Assistance Eligible: No 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.

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 . Job Details: SUMMARY: The Lead Data Modeler is responsible for the development of high performance, scalable enterprise data models on cloud platform. Should possess strong SQL skills with excellent data modelling skills. Needs to be well versed in the Kimball methodology. Should participate in various activities throughout the systems development lifecycle. Participate in support activities, involve in POCs and present the outcome in acceptable manner. Also responsible for analyzing, architecture, designing, programing and debugging existing/new products to be developed and also mentoring team members. Taking ownership and demonstrate high professional and technical ethics including a consistent focus on emerging and predominant technologies that help the organization. Essential Duties and Responsibilities: 10+ years of work experience in data modeling or engineering Define, design, implement enterprise data models. Build Kimball compliant data models in Analytic layer of data warehouse Build 3rd normal form compliant data models in hub layer of data warehouse Translate tactical/strategic requirements to ensure effective solutions which meet business needs. Demonstrated ability to take ownership of initiatives and comfortable seeking help. Participate and provide consultation on complex initiatives. Comfortable tackling new problems and learning along the way. Review specifications and coach to ensure consistency in approach and use. Research improvements in coding standards, participate in code reviews. Refactor code to improve testability and maintainability when needed. Perform detailed technical design, development and unit testing of custom applications and data flows in the context of projects, releases and production support. Deliver high quality code for features and bug fixes. Demonstrated ability to effectively adapt to changing technology. Mentor and coach the team members Requirements: Technical Skills: Hands on experience in SQL Query optimization, working on RDBMS and Data Warehouse (ER and Dimensional modeling) Experience Modeling data into star schemas using the Kimball methodology Experience Modeling data into 3rd normal form Experience in Agile methodology Experience with CICD frameworks and common DevOps practices Experience working in an onsite-offshore model Awareness about the Metadata, Data Quality and Governance needs of Data and Analytics platforms Soft Skills: Strong Leadership, analytical, engineering, problem solving, presentation and communication skills Ability to work with a broad group of team members with diverse backgrounds Ability to take a decision and articulate back to leadership as well as business teams Ability to guide other team members through a complex problem or deliverable Education: Bachelor s degree in Computer Science, Information Systems or other technical area (Preferably B.E in Computer Science/Information Tech) Nice to have skills: Apache Spark Python Experience with graph database Experience in data identification, ingestion, transformation, and consumption related work Good knowledge of Data visualization Sap Enterprise S/4 HANA Familiarity Programming Language Skills (Python, NodeJs, Unix Scripting) Experience on GCP Cloud Ecosystem (Big Query, DataFlow, Airflow, Cloud Storage and equivalent tools on other Cloud solutions, design/build data services) Experience in all aspects of software engineering, during these deliverables: Define, architect, build, test, and deploy Relocation Assistance Eligible: No 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.