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...