Data Engineer II

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. 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.

Roles & Responsibilities:

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 worldclass 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.

• Build dynamic audience services for behavioral and lifecycle cohorts, rules driven propensity groupings, and event triggered real time segments.

• Define data contracts and versioning for attributes, traits, and segment definitions to ensure reuse, durability, and safe change management.

• Setup and configure audience governance rules (freshness SLAs, recency/frequency windows, cardinality limits, consent gates) and ensure they’re consistently enforced.

• Create and maintain audience playbooks (e.g., reactivation, onboarding, churn risk, high value, cart abandon).

• Deepen market relationships to better understand segmentation and activation needs.

• Ideate and propose new capabilities for testing and market validation.

Qualifications:

• 5-7 years in largescale Data Engineering / Distributed Systems.

• 4+ years with GCP or AWS (GCP preferred).

• 3+ years working on real time customer data and/or segmentation platforms.

• Experience with CDPs (mParticle, Adobe RTCDP, Braze, Tealium).

• Designing real time audience builders, rule engines, and activation frameworks.

• Multi regional deployments, data residency, and consent management at global scale.

• Strong stakeholder communication; ability to simplify technical concepts for marketers and product leaders.

• Systems thinker with strong architectural judgment and influence.

McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.