Summary from listing
The Snowflake Data Engineer will build and optimize resilient streaming and ETL/ELT pipelines, handle event states and complex workflows, integrate data processing across multiple cloud providers, automate monitoring and lineage, and tune distributed compute and warehouse performance. The role requires a computer science or data engineering degree, 4–6+ years of software or data engineering experience, strong Python, SQL, Scala, or Java proficiency, and hands-on experience with Spark, Flink, Kafka, Azure Event Hubs, Airflow, Dagster, CI/CD, and Docker or Kubernetes.
