Manager, Data Engineering (India)

Manager, Data Engineering (India)

02 Oct
|
McDonalds
|
India

02 Oct

McDonalds

India

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 current 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 an experienced, highly versatile, and hands-on Data Engineer III to drive the development, integration, and operational execution of McDonald’s Marketer Customer Data Platform (mCDP). This is a pure individual contributor ("doer") role focused on rapid, high-quality technical execution. Acting as a SME across the CDP ecosystem, the ideal candidate will possess deep experience in CDP operations (utilizing tools like mParticle) and extensive expertise in Google Cloud Platform (GCP) infrastructure.



You will be responsible for building and maintaining real-time data pipelines, configuring event streams and webhooks, and managing audience segmentations that surround and support the CDP to power critical, split-second marketing and customer engagement initiatives.

Duties

Who We Are Looking For
- A Hands-on "Doer": An agile, high-velocity engineer who is passionate about writing code, configuring systems, and independently delivering high-quality, production-ready integrations from requirements through deployment.
- CDP Operations Specialist: Someone who is well-versed in configuring user traits, mapping data schemas, setting up inbound/outbound integrations, and building/managing audiences in a CDP ecosystem (mParticle).
- GCP Infrastructure Practitioner: An engineer with a strong cloud foundation who can easily design, set up, and maintain GCP-based data pipelines and supporting cloud infrastructure that feeds into and wra

📌 Manager, Data Engineering (India)
🏢 McDonalds
📍 India

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