Senior Data Engineer

As a Senior Data Engineer at Blip, you'll play a crucial role in shaping the future of conversational AI by:

• Designing and implementing high-throughput, low-latency data pipelines.
• Building scalable data ingestion and transformation frameworks.
• Ensuring fault-tolerance and replayability in event processing flows.

Key areas of focus include:

• Data Engineering & Pipeline Architecture: Optimizing data pipelines for processing billions of events daily.
• Modeling & Storage: Designing data models across streaming, analytical, and serving layers.
• Reliability, Quality & Observability: Embedding observability, lineage, and data quality validations into pipelines

Collaboration and Leadership:

• Mentoring junior engineers and contributing to design reviews.
• Working closely with AI, Platform, and Product teams.
• Promoting craftsmanship, performance, reliability, and simplicity as core engineering values.