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.
Department Overview
Role: Data Science Engineer II – Data Science
Level: Data Science Engineer II
Duties
- 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
- 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
- Robust understanding of data modeling, ETL processes, and feature engineering techniques
- Experience with data pip
📌 Data Engineer II (India)
🏢 McDonald’s Australia
📍 India
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