Senior Data Engineer

📋 Description

• Lead the design and build of platform components that run across multiple clouds — addressing
• Build and operate large-scale event streaming infrastructure on Kafka, including configuration
• Build and maintain real-time and batch data pipelines using tools like Kafka, Spark, and Airflow.
• Drive the development of a scalable LakeHouse architecture using modern open table formats such as
• Own reliable, cost-aware operation of multi-cloud data infrastructure — SLO-based observability
• Enable Analytics and Product teams through self-serve data products, well-modeled warehouse

🎯 Requirements

• Preferably 6+ years of experience in data engineering or distributed backend systems, including 3+
• Hands-on experience with streaming platforms (e.g., Kafka) and distributed processing tools (e.g.
• Hands-on experience building and operating data pipelines on GCP with BigQuery (and familiarity
• Working knowledge of LakeHouse formats (Iceberg/Delta/Hudi) and columnar storage like Parquet.
• Experience with infrastructure-as-code and cloud-agnostic tooling (e.g., Terraform, Kubernetes) for
• Strong in data modeling and optimizing cloud data warehouses — we run on BigQuery and looking to