Senior Data Engineer I

Responsibilities

Data Engineering & Integration Development

• Design, develop, and optimize data pipelines and ETL workflows to support People Systems data needs.
• Implement API-based and batch integrations between Oracle Fusion Cloud HCM, Learning Pool (Learn!Now), and other enterprise systems.
• Collaborate with development teams to configure and maintain data platforms (e.g., Snowflake, Informatica, Power BI, Domo).
• Assist in defining data models, schemas, and transformation logic to enable effective reporting and analytics.

Solution Design & Implementation

• Analyze business and functional requirements to develop scalable data and integration solutions for People Systems applications.
• Contribute to technical design decisions, ensuring solutions are efficient, secure, and aligned with enterprise architecture.
• Develop and maintain technical documentation, including data flow diagrams, API specifications, and system workflows.

Agile & Collaboration

• Work within an Agile Scrum team, participating in sprint planning, backlog grooming, and retrospectives.
• Partner with Product Owners and the Yum! Data Science team to refine data requirements and identify opportunities for process automation.
• Support the Associate Manager, Data Engineering, in executing data strategy and roadmap initiatives.

Performance Monitoring & Optimization

• Monitor and optimize ETL jobs, data pipelines, and integration performance to improve efficiency and reduce latency.
• Troubleshoot and resolve data quality and integration issues in collaboration with development teams.
• Implement best practices for data governance, security, and compliance.

Stakeholder Engagement & Communication

• Work closely with the Associate Manager, System Design, and U.S.-based technical leadership to align solutions with business priorities.
• Translate complex technical concepts into business-friendly language to facilitate stakeholder communication.
• Ensure alignment with security, compliance, and pormance standards set by the enterprise.

Minimum Requirements:

• Bachelors degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 8-10 years of experience in data engineering, system design, and technical solutioning.
• Experience with ETL processes, data pipelines, and integration architectures.

Technical Skills

• Strong expertise in SQL, Python, or similar programming languages for data transformation.
• Hands-on experience with data integration tools (e.g., Informatica, API-based integrations, Snowflake, Power BI, Domo).
• Experience with cloud-based platforms (AWS, Azure) and API development.
• Familiarity with Agile methodologies and tools like Azure DevOps or Jira.
• Not required but preferred: Familiarity with Oracle Fusion Cloud HCM and Learning Pool (Learn!Now).

Soft Skills

• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities, especially with remote and cross-functional teams.
• Ability to work independently while aligning with team goals and business needs.