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1 день назад

Senior Data Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Spark/Data Engineering): Building and owning end-to-end pipelines that process billions of web events for attribution with an accent on distributed processing, data modeling, and strict freshness and accuracy SLAs. Focus on designing Spark and SQL architectures, debugging performance and data-quality issues at scale, and turning production incidents into lasting fixes.

Location: Herzliya, Israel

Company

hirify.global provides web and mobile attribution technology, processing more than 150 billion events across its platform.

What you will do

  • Build and improve end-to-end pipelines processing billions of web sessions, in-app events, and conversions.
  • Own pipeline architecture from specifications through production, including design documentation and key SQL versus Spark trade-offs.
  • Review technical designs and collaborate with architects on cross-team solutions.
  • Work with the team lead on roadmap planning, priorities, and project breakdowns.
  • Represent the team in technical discussions with Product, R&D, and partner teams.
  • Own production incidents and implement lasting fixes.

Requirements

  • 6+ years of experience in data or big data engineering, including production systems at scale.
  • B.Sc. in Computer Science or equivalent.
  • Deep hands-on Apache Spark experience, including execution plans, partitioning, memory management, skew, and performance debugging.
  • Experience with a cloud analytical warehouse such as BigQuery, Snowflake, Redshift, or Databricks SQL.
  • Experience designing data systems and taking designs from trade-offs through production.
  • Experience with workflow orchestration, cloud environments, and production-grade programming; Scala is preferred and Python is used for orchestration.

Nice to have

  • Experience with attribution or AdTech data systems and attribution models.
  • Advanced Scala or functional programming experience.
  • Experience with Dataform, dbt, data-mesh or data-product platforms.
  • Experience with Kafka, streaming systems, or production ML and LLM pipelines.
  • BigQuery or GCP experience.

Culture & Benefits

  • Work within a diverse and multicultural global organization operating across 25 offices in 19 countries.
  • Equal-opportunity workplace focused on diversity, curiosity, and innovation.
  • Access to tools and resources that support employees in their work.

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