Data Engineer- Activity Group

Cyera
Tel Aviv
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4+ yearsSkills: ["Communication","Data quality mindset"]

Build and scale high-throughput data pipelines for an activity monitoring product used by enterprise customers. You’ll design and operate multi-stage Spark and ClickHouse ETL/ELT workflows ingesting billions of events, own end-to-end data modeling, and implement data quality validation and freshness monitoring. Partner with product and engineering to translate requirements into production-ready pipelines, eliminate performance bottlenecks, and help re-architect processing as scale limits are surpassed.

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FursaFursa
Cyera
Cyera
2 days ago

Data Engineer- Activity Group

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and scale high-throughput data pipelines for an activity monitoring product used by enterprise customers. You’ll design and operate multi-stage Spark and ClickHouse ETL/ELT workflows ingesting billions of events, own end-to-end data modeling, and implement data quality validation and freshness monitoring. Partner with product and engineering to translate requirements into production-ready pipelines, eliminate performance bottlenecks, and help re-architect processing as scale limits are surpassed.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with product and engineering stakeholders to translate requirements into scalable data models and production-ready pipelines.
  • •Architect and scale multi-stage, high-throughput ETL/ELT pipelines for billions of activity events, balancing quality, freshness, performance, and cost.
  • •Build and optimize distributed processing (Spark) and analytical workloads (ClickHouse) to remove production performance bottlenecks.
  • •Own end-to-end data modeling to unify diverse raw activity data into a trusted activity layer for investigations and analytics.
  • •Design validation, testing, and freshness monitoring to ensure data integrity and diagnose data quality incidents.

Key Requirements

  • •4+ years building and operating production data systems as a data engineer.
  • •Strong SQL skills, including complex transformations, window functions, and performance optimization in columnar/OLAP databases (ClickHouse preferred).
  • •Hands-on experience with Spark (or similar distributed processing frameworks) at scale.
  • •Proven experience designing high-throughput ETL/ELT pipelines, including incremental processing patterns and throughput/cost tradeoffs.
  • •Proficiency in Python for pipeline development, tooling, and automation; plus strong communication to discuss technical tradeoffs.
Experience:4+ years
Skills:CommunicationData quality mindset
Tech Stack:SQLClickHouseSparkETLELTPythonKafkaAWSS3EMRDatabricksMWAAECSDebeziumData replicationCDCAPIsStreamingMulti-tenant data architecturesData access controls

Company Brief

Cyera
Provides an AI‑native data security platform that discovers, classifies, and protects sensitive data across cloud, SaaS, databases, AI systems and on‑prem environments to reduce risk and enable secure AI adoption.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series F
Headquarters: New York, United States
Founded: 2021
Glassdoor
Glassdoor: 4.8
WebsiteLinkedInGlassdoor