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Senior Data Engineer

Nebius·ישראל·
לא צויןמשרה מלאהData EngineeringEnterprise SoftwareData Infrastructure

Build and operate the data platform behind an agent-native search product, supporting search quality, machine learning, product analytics, and business operations across large-scale production environments.

תחומי אחריות

  • Design, develop, and operate the data platform from real-time ingestion through consumer-facing datasets and dashboards
  • Build and maintain reliable batch and streaming pipelines from production and external systems
  • Design and evolve scalable data warehouse models and domain entities
  • Improve data observability through quality checks, freshness monitoring, lineage, schema evolution, and cost controls
  • Partner with researchers, engineers, analysts, finance, and product managers to deliver trustworthy datasets
  • Investigate production data issues, including broken pipelines, corrupted datasets, schema changes, and large-scale backfills
  • Improve testing, documentation, deployment, incident response, security, governance, and engineering standards

דרישות

  • At least 5 years of data engineering experience
  • Strong experience designing scalable, analytics-ready data models and cloud data warehouses
  • Strong knowledge of databases, schema design, query optimization, and data warehouse architecture
  • Experience with Airflow and dbt or comparable orchestration and transformation frameworks
  • Hands-on experience with Spark, MapReduce, or similar distributed processing systems
  • Fluency in Python and SQL for production data work
  • Experience operating production data systems, resolving incidents, handling schema changes, and performing backfills

יתרון

  • Experience with medallion-style data warehouse modeling
  • Experience with Snowflake or a comparable cloud data warehouse
  • Experience with AWS or GCP data services
  • Familiarity with NoSQL use cases
  • Experience with Kafka or Pub/Sub

הטבות

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

רלוונטיות

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