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The Data Platform team is uniquely positioned at the intersection of security, big data and cloud computing. We are responsible for providing ultra low-latency access to global security insights and intelligence data to our customers, and enabling them to act in near real-time. We re looking for a seasoned engineer to help us build next-generation data export pipelines that provide near real-time streaming of security insights and intelligence data using open source messaging and RESTful APIs that allow programmatic access to the data.
What you will be doing
Required skills and experience
Education
Job ID: 114275643
Skills:
snowflake , Pyspark, Apache Airflow, Gcp, Amazon Redshift, Azure, Kubernetes, Python, Aws S3, Apache Iceberg, Data Engineering Architecture, dbt Core, Databricks Lakehouse, Apache Polaris, Unity Catalog, DuckDB, Delta Lake
Skills:
workflow engines , Java, Scala, Distributed Systems, Python, AWS, cloud-native software systems, LLMs, event-driven architectures, orchestration systems, AI models, OAuth 2.0, platform infrastructure
Skills:
Snowflake Data Warehouse, designing and implementing scalable data pipelines and workflows, data security and governance principles, cloud-based data warehousing concepts and architecture, data integration techniques and tools
Skills:
VMware, Esxi, S3, Kvm, Xen, Hadoop, Cassandra, Cifs, UNIX, Mapreduce, Linux, Zookeeper, Nfs, Kubernetes, Python, Hyper-V, Go
Skills:
snowflake , Dynamodb, Data Modeling, Python, Sql, ETL frameworks, Airflow, AI-assisted development