Data Engineering SRE II [T500-18972]

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.

Position Summary:

We are seeking a skilled Data Product Engineering SRE to build, maintain, and ensure the reliability of our business-facing data products and analytics platforms. This role combines product engineering skills with data expertise and site reliability practices to deliver exceptional user experiences through reliable, performant data products. You will work at the intersection of data engineering, product development, and operations to ensure our data products meet user expectations and business requirements.

Key Responsibilities:

• Build and maintain business-facing data products including dashboards, analytics APIs, and reporting platforms
• Implement data product features that enhance user experience and drive product adoption
• Create and maintain data APIs with proper authentication, caching, and performance optimization
• Build automated testing frameworks for data product functionality and user workflows
• Monitor and maintain SLA compliance for data product availability and performance
• Implement comprehensive monitoring for data products including frontend performance and backend data pipeline health
• Establish alerting systems for data product issues affecting user experience
• Respond to and resolve data product incidents, ensuring minimal customer impact
• Conduct root cause analysis and implement preventive measures for data product failures
• Operate and maintain data pipelines that feed analytics and reporting features
• Implement data validation and quality checks for customer-facing data products
• Monitor data product performance from end-user perspective (page load times, query response times)
• Implement user analytics and tracking to understand product usage patterns
• Participate in user feedback collection and translate insights into technical improvements
• Implement monitoring dashboards for data product health and business metrics
• Optimize database queries and data processing jobs for interactive analytics workloads
• Collaborate with Data Engineering teams to ensure reliable data flow into product features
• Partner with Frontend Engineers on data visualization and user interface components

Required Qualifications:

• 4+ years of experience in product engineering, data engineering, or SRE roles
• 2+ years building business-facing applications or data products
• Experience with data visualization tools and frameworks (Tableau, Looker, or custom solutions)
• Proficiency in Python, JavaScript / TypeScript, and SQL
• Experience with React, Vue.js, or similar frameworks for building data interfaces
• Hands-on experience with analytics databases (Snowflake, BigQuery, Redshift, ClickHouse)
• Experience building and maintaining API’s
• Working knowledge of AWS, or GCP data and compute services
• Experience with application monitoring (DataDog, New Relic) and custom metrics
• Understanding of product development lifecycle and user-centered design principles
• Experience with product analytics tools (Google Analytics, Mixpanel, Amplitude)
• Skills in optimizing application performance for user-facing products
• Experience troubleshooting user-reported issues and providing technical solutions
• Experience with on-call responsibilities and incident response procedures
• Skills in setting up comprehensive monitoring and alerting systems
• Strong debugging skills for distributed systems and data pipeline issues
• Experience with CI/CD pipelines and infrastructure automation
• Knowledge of automated testing strategies for data products and APIs
• Knowledge of data governance and privacy regulations (GDPR, CCPA) in product context
• Experience with database optimization and query performance tuning

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