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