חזרה

Data Engineer- Activity Group

Cyera
שכר לא צויןTel Aviv, Tel Aviv-Yafo, Israel, מהמשרדמידמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 14 שעות

Join Cyera’s Activity Group to build and operate data pipelines for Access Trail, its activity monitoring product. You’ll process large volumes of enterprise activity data for investigations, analytics, and security capabilities.

מה תעשו

  • Translate product and engineering requirements into scalable data models and production pipelines.
  • Architect and scale ETL pipelines that process billions of activity events and terabyte-scale datasets.
  • Build and optimize distributed processing workloads with Spark and analytical workloads with ClickHouse.
  • Model raw activity data into a tested, unified layer for investigations, analytics, and product experiences.
  • Design data validation, testing, and freshness monitoring, and diagnose data quality incidents.
  • Monitor and optimize infrastructure costs across compute, storage, and orchestration.

דרישות

  • 4+ years of experience building and operating production data systems as a data engineer.
  • Strong SQL proficiency, including complex transformations, window functions, and performance optimization.
  • Hands-on experience with Spark or similar distributed processing frameworks at scale.
  • Experience designing high-throughput ETL/ELT pipelines, including incremental processing patterns.
  • Strong data modeling and data quality skills; proficiency in Python for pipeline development, tooling, and automation.

יתרון

  • Production experience with ClickHouse or other columnar/OLAP systems.
  • Experience with Kafka or similar streaming and messaging systems.
  • Experience with AWS data services such as S3, EMR/Databricks, MWAA, or ECS.
  • Familiarity with Debezium or similar CDC/data replication tools.
  • Experience building third-party API and event-source integrations, multi-tenant data architectures, or data access controls.
  • Exposure to data security, privacy, or compliance.

תנאי סף

  • 4+ years of experience as a data engineer building and operating production data systems
  • Hands-on experience with Spark or similar distributed processing frameworks at scale
  • Proficiency in Python for pipeline development, tooling, and automation
  • Strong SQL proficiency
SQLPythonApache SparkClickHouseETL/ELTData modelingData quality