Manager, Data Engineering

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. Department Overview

We are seeking a Manager, Data Engineering to lead hands-on technical delivery for key components of our RealTime Customer Data Platform (CDP). This role is deeply focused on core data engineering: building scalable streaming pipelines, managing stateful processing, ensuring data quality and reliability, and operating production-grade data systems

Skills Required: Kafka, Confluent, Pub/Sub, AWS, Azure, GCP, Docker, Kubernetes, CICD, CI/CD, Java

Experience Range: 7 - 12 years

Duties

RealTime CDP & Streaming:

• Architect, build, and operate high-throughput, low-latency streaming pipelines for clickstream, transactional, and behavioral data using Kafka, Flink, Spark Structured Streaming, or Dataflow/Beam.
• Design stateful stream processing for sectorization, windowing, deduplication, enrichment, and late-arriving data handling.

Core Data Engineering:

• Design and implement robust data models for events, customer attributes, and derived features.
• Manage schema evolution, backward compatibility, and data contracts. Build scalable batch pipelines to support backfills, reprocessing, and historical precomputation aligned with real-time logic.