Platform Engineer III

Position Summary: Data Platform Support / Platform Engineer III As a Data Platform Support Engineer, you will design, implement, and maintain scalable and secure platform services that enable efficient data transfers, API integrations, and platform operations across the enterprise. You will play a critical role in ensuring the performance, reliability, and security of data pipelines and platform services that power decision-making, reporting, and advanced data productsparticularly in high-volume, fast-paced global environments. Who we are looking for: Primary Responsibilities: Platform Operations & Support: Design, implement, and maintain secure and efficient platform solutions to support APIs, data transfers, and analytics workflows. Monitor platform health, optimize for performance and uptime, and implement diagnostic and observability practices. Provide Level 2/3 technical support for platform services to minimize disruption and accelerate issue resolution. Support platform upgrades, releases, and maintenance activities to ensure seamless user experiences. Security, Compliance & Governance: Ensure secure handling of data across transfer and integration processes, adhering to enterprise security and compliance standards. Implement and manage data transfer protocols (e.g., SFTP, API-based integrations) in a secure and auditable manner. Enablement & Documentation: Contribute to platform documentation, standards, and usage guidelines to drive user enablement and platform adoption. Support training sessions and user onboarding for platform services and tools. Collaboration & Delivery: Partner with engineering, product, and analytics teams to support platform initiatives and enhance system integration. Collaborate on continuous improvement initiatives to support analytics-ready data delivery across domains and markets. Skills: 5+ years of experience in platform engineering, data infrastructure, or API/data transfer operations. Deep expertise in: Data orchestration and batch processing tools (e.g., Airflow, Dataflow, Composer preferred). Secure data transfer protocols and integration patterns (e.g., SFTP, APIs, event-driven transfers). SQL for platform diagnostics and performance analytics. Python for automation, scripting, and platform utilities. Hands-on experience with cloud-native environments (preferably GCP or AWS), infrastructure-as-code (e.g., Terraform, Ansible), and DevOps practices. Strong problem-solving and analytical skills with a focus on operational excellence. Demonstrated ability to collaborate across cross-functional technical teams. Strong communication and stakeholder engagement skills. Bachelors degree in Computer Science, Information Systems, or a related technical field. GCP/AWS certification is preferred Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonalds is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonalds provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonalds Capability Center India Private Limited (McDonalds in India) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonalds in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonalds in India does not discriminate based on race, religion, color, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.