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 Were 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 worldclass engineering teams that deliver privacy secure, 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 agile 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 secure change management.
Setup and configure audience governance rules (freshness SLAs, recency/frequency windows, cardinality limits, consent gates) and ensure theyre consistently enforced.
Create and maintain audience playbooks (e.g.,

📌 Data Engineer Ii Hyderabad
🏢 McDonalds in India
📍 Hyderabad