Data Engineer III [T500-27547]

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Role: Data Science Engineer III – Data Science

Level: Data Science Engineer III,

Organization: Enterprise Data, Analytics, and AI (EDAA) – Data Science

Company Description: McDonald’s is redefining the customer experience using intelligent data systems and scalable technologies. As the brand continues to deliver innovation at the speed and scale of its global operations, enterprise data, analytics, and AI (EDAA) leaders are at the forefront of enabling insights and intelligence across every aspect of the business.

Key Responsibilities:

• Build and optimize experimental data pipelines to ingest, clean, and transform structured and unstructured data that drive machine learning models.
• Implement workflow orchestration using tools like Apache Airflow or Luigi for reproducibility and scalability.
• Collaborate with Data Scientists to design and implement feature extraction and transformation strategies.
• Develop reusable feature stores and maintain metadata for experimental datasets.
• Partner closely with Data Science teams to understand modeling requirements and ensure alignment between experimental and production environments.
• Provide technical guidance on data quality, schema design, and performance optimization.
• Evaluate emerging technologies and frameworks to enhance data engineering capabilities.
• Drive adoption of best practices in data governance, version control, and CI/CD for data workflows.

Qualifications Required:

• Bachelor’s degree in computer science, engineering, or related field. Or comparable work experience.
• 5-9 years of experience in data engineering for data science and analytics
• Hands-on experience in Python, SQL, and distributed systems
• Familiarity with cloud platforms (GCP preferred)
• Advanced use of source code repositories such as GitHub
• Strong understanding of data modeling, ETL processes, and feature engineering techniques
• Experience with data pipeline orchestration tools and version control systems
• Ability to work in Agile, cross-functional teams.

Preferred:

• Knowledge of real-time data processing and streaming technologies
• Understanding privacy and compliance standards (GDPR, CCPA).

McDonald’s Values At McDonald’s, we live by our values:

Equal Opportunity Statement: McDonald’s is an equal opportunity employer that champions a culture of fairness and inclusion. We welcome all qualified applicants and are committed to ensuring equal access to opportunities for advancement.

• Serve: We put customers and people first
• Inclusion: We open our doors to everyone
• Integrity: We do the right thing
• Community: We are good neighbors
• Family: We grow together