Data Engineer II [T500-27546]

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 II – Data Science

Location: India

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.

Required Skills (4–8 Years Experience)

Preferred Skills:

• 4–8 years of overall IT experience, including 4+ years of hands-on experience in Data Engineering, building scalable data pipelines and supporting analytics and machine learning workloads.
• Strong programming experience in Python and SQL, with expertise in developing, optimizing, and maintaining ETL/ELT pipelines for structured and unstructured data.
• Hands-on experience with Apache Airflow (or similar orchestration tools), Git/GitHub, CI/CD practices, and cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure.
• Solid understanding of data modeling, ETL/ELT frameworks, feature engineering, data quality, performance optimization, and distributed data processing technologies such as Spark or Databricks.
• Experience working in Agile environments, collaborating with Data Scientists, Analytics, and Engineering teams to build reliable, scalable, and production-ready data solutions.
• Experience with real-time data streaming technologies such as Kafka, Pub/Sub, or similar platforms.
• Knowledge of modern cloud data platforms such as BigQuery, Snowflake, or Databricks.
• Familiarity with dbt (Data Build Tool) for SQL-based data transformations and analytics engineering.
• Understanding of data governance, security, and compliance standards such as GDPR and CCPA.
• Experience implementing monitoring, logging, and automated testing for data pipelines.

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