Data Engineer III

Responsibilities

Data Engineering & Integration Development

• Assist in designing and building data pipelines and ETL workflows to support People Systems applications.
• Support the configuration and maintenance of data platforms (e.g., Snowflake, Informatica, Power BI, Domo).
• Develop SQL queries, stored procedures, and Python scripts for data transformation and automation.
• Implement API-based and batch integrations between Oracle Fusion Cloud HCM, Learning Pool (Learn!Now), and other enterprise systems.

Solution Design & Implementation

• Work with business and technical teams to analyze data and integration requirements.
• Assist in creating technical specifications, data flow diagrams, and integration workflows.
• Ensure that solutions follow best practices for performance, security, and scalability.

Collaboration & Agile Development

• Participate in Agile Scrum team activities, including sprint planning, backlog grooming, and retrospectives.
• Work closely with the Sr. Data Engineer I to refine and implement data solutions.
• Collaborate with the Yum! Data Science team and business stakeholders to ensure data alignment with reporting and analytics needs.

Performance Monitoring & Optimization

• Monitor data pipelines, ETL jobs, and system integrations to identify performance bottlenecks.
• Assist in troubleshooting data quality, performance, and security issues.
• Recommend improvements to data workflows and system architecture.

Documentation & Knowledge Sharing

• Maintain technical documentation, including data mappings, ETL workflows, and API configurations.
• Share knowledge with team members and contribute to continuous improvement initiatives.
• Stay updated with emerging data engineering trends and best practices.

Minimum Requirements:

• Bachelors degree in computer science, Information Systems, Data Engineering, or a related field.
• 6-8 years of experience in data engineering, ETL development, or system integrations.
• Experience with SQL, Python, or similar languages for data transformation and automation.
• Exposure to ETL processes, data pipelines, and integration architectures.
• Not required but preferred: Familiarity with Oracle Fusion Cloud HCM and Learning Pool (Learn!Now).

Technical Skills

• Working knowledge of data integration tools (e.g., Informatica, API-based integrations, Snowflake, Power BI, Domo).
• Experience with cloud platforms (AWS, Azure) and API development.
• Familiarity with Agile tools (Azure DevOps, Jira) and methodologies.
• Basic understanding of data modeling, reporting, and analytics concepts.

Soft Skills

• Strong problem-solving and analytical thinking skills.
• Effective communication and teamwork abilities.
• Ability to adapt and learn new technologies quickly.