Added
20 days ago
Type
Full time
Salary
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Related skills

data engineering sql python scala kafka

πŸ“‹ Description

  • Define data architecture and platform strategy, leading design across pipelines, warehouses, and
  • Build and optimize scalable data pipelines supporting batch and real-time processing
  • Define and enforce data governance, quality standards, and compliance frameworks across the platform
  • Build monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD
  • Drive data platform modernization, optimizing for performance, cost, and scalability
  • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern

🎯 Requirements

  • 7+ years of professional data engineering experience, with experience leading complex data platform
  • Strong system architecture background with expertise in distributed data systems
  • Expert proficiency in Python, Scala, and SQL
  • Deep expertise with cloud-native data platforms and enterprise data warehousing
  • Strong expertise in data pipeline orchestration and processing
  • Strong experience with streaming platforms and real-time data processing (e.g., Kafka, Kinesis

🎁 Benefits

  • 20 days of paid vacation
  • 15 days of unpaid vacation
  • All official public holidays off
  • 5 paid sick days without a doctor's certificate
  • Medical insurance
  • Military draft deferment (reservation) support

🚚 Relocation support

πŸ›ƒ Visa sponsorship

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