Overview

Role: Staff Data Engineer at Blip. You will shape and evolve the real-time data processing layer and build data-intensive systems that support analytics, AI, and intelligent automation at global scale.

Responsibilities

• Data Engineering & Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency data pipelines capable of processing billions of events per day.
  • Build scalable data ingestion and transformation frameworks leveraging Kafka, Flink, Spark, Airflow, Beam, and/or GCP data engineering technologies.
  • Ensure fault-tolerance, exactly-once semantics, and replayability in all event processing flows.
  • Establish reusable patterns and accelerators for pipeline development, deployment, and monitoring.
• Modeling & Storage Design
  • Design data models across streaming, analytical, and serving layers (Bronze/Silver/Gold, event sourcing, CDC, an...