15 Sep
|
McDonalds in India
|
Hyderabad
15 Sep
McDonalds in India
Hyderabad
We are excited to announce an opening for Manager, Data Engineering at MCC India. Please find below the details of the role and its responsibilities.
Skills Required: Kafka, Confluent, Pub/Sub, AWS, Azure, GCP, Docker, Kubernetes, CICD, CI/CD, Java
Experience Range: 7 - 12 years
Manager, Data Engineering RealTime CDP.
Position Summary: 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.
Primary Responsibilities: 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.
- Data Quality, Reliability & Operations
- RealTime CDP & Streaming
- Audience Building & Segmentation
- Customer Data Products & 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 elevate real time customer data and audience/segmentation capabilities, scale them globally, and develop worldclass engineering teams that deliver privacy protected, high-performance activation.
- Implement data quality checks (completeness, validity, timel
📌 Manager, Data Engineering (Hyderabad)
🏢 McDonalds in India
📍 Hyderabad