10 Aug
|
McDonald's Global Office in India
|
Hyderabad
10 Aug
McDonald's Global Office in India
Hyderabad
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 agile 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.
Data Engineering II – RealTime CDP
Position Summary:
We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role emphasizes building, testing, and operating data pipelines while developing strong fundamentals in streaming and distributed data systems.
Primary Responsibilities:
RealTime CDP & Streaming
Audience Building & Segmentation
Customer Data Schemas & Quality
Leadership & Delivery
Cross Functional Collaboration
Work location: Hyderabad, India
Work pattern: Full time role.
Work mode: Hybrid.
Who We’re Looking For:
A hands-on, full stack Data Engineering leader who can build real time and batch customer data pipelines and build audience/segmentation capabilities, scale them globally, and develop world class engineering teams that deliver privacy safe, high-performance activation.
Build and scale real time pipelines for clickstream, transactional, and behavioral data using Kafka, Flink, Spark Structured Streaming, or Dataflow/Beam.
Design and evolve customer event models, session-ization, and cross channel stitching to maintain a unified, channel stitching to maintain a unified, privacy aware customer view.
Implement low latency activation APIs used by apps, web, CRM, loyalty, kiosks, and marketing orchestration platforms.
Build and maintain observability, SLAs/SLOs, schema evolution, lineage, and cost efficiency across streaming and batch paths.
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📌 Data Engineer II (Hyderabad)
🏢 McDonald's Global Office in India
📍 Hyderabad