Data Engineering SRE II

You will be part of McDonald's Corporation, a global company with presence in over 100 countries, offering corporate opportunities in Hyderabad. As a Data Product Engineering SRE, your primary responsibility will be to develop and maintain business-facing data products and analytics platforms, ensuring their reliability and performance. By combining your product engineering skills with data expertise and site reliability practices, you will contribute to delivering exceptional user experiences and driving product adoption. - Building and maintaining business-facing data products such as dashboards, analytics APIs, and reporting platforms. - Implementing data product features to enhance user experience. - Creating and maintaining data APIs with proper authentication and performance optimization. - Building automated testing frameworks for data product functionality. - Monitoring and maintaining SLA compliance for data product availability and performance. - Establishing alerting systems for issues affecting user experience. - Responding to and resolving data product incidents. Additionally, you will be responsible for: - Conducting root cause analysis and implementing preventive measures for data product failures. - Operating and maintaining data pipelines. - Implementing data validation and quality checks for customer-facing data products. - Monitoring data product performance from an end-user perspective. - Implementing user analytics and tracking. - Participating in user feedback collection and translating insights into technical improvements. - Collaborating with Data Engineering teams and Frontend Engineers to ensure reliable data flow into product features and optimize database queries for interactive analytics workloads. To qualify for this role, you should have: - At least 4 years of experience in product engineering, data engineering, or SRE roles. - A minimum of 2 years building business-facing applications or data products. - Proficiency in Python, JavaScript/TypeScript, and SQL. - Experience with data visualization tools and frameworks. - Hands-on experience with analytics databases. - Knowledge of AWS or GCP data and compute services, application monitoring tools, product development lifecycle, and user-centered design principles. - Experience with product analytics tools, optimizing application performance, troubleshooting user-reported issues, on-call responsibilities, incident response procedures, and setting up monitoring and alerting systems. This is a full-time position based in Hyderabad, India, with a hybrid work mode.,