Senior Scala Software Engineer

Навыки

• BigQuery
• Коммуникация
• Databricks
• Docker
• DWH
• Kubernetes
• 152-ФЗ / персональные данные

О компании и продукте

• Senior Scala Software Engineer (#4411943101) - Office/Remote | N-iX. Search Job. Senior Scala Software Engineer. Senior Scala Software Engineer (#4552)

Задачи

• Architect the Core Lifecycle: Design, build, and evolve the aggregate system that defines, manages, and optimizes aggregates to accelerate query performance across data platforms
• Optimize Intelligent Performance: Architect the prediction and selection logic that identifies high-value aggregates and analyze query workloads to guide placement strategies
• Scale High-Impact Systems: Improve maintenance and scheduling processes to ensure reliability and low overhead in large-scale environments, ensuring the system scales smoothly

Требования

• 6+ years of professional software engineering experience and a BA/BS in Computer Science or a related field
• Strong programming expertise in Scala and ideally have experience with Scala worker systems like Akka or Pekko
• You can reason about complex system behavior, lifecycle state, and performance tradeoffs while maintaining a focus on production reliability
• Experience with data warehouse concepts (Snowflake, BigQuery, etc.) and containerization technologies (Docker, Kubernetes)
• Excellent communication skills and are comfortable working across query planning and platform teams
• You are based in or able to work Eastern/Central European Time hours
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Будет плюсом

• WELCOME BONUS
• LATAM, Portugal, Spain
• Work type
• Office/Remote
• Technical Level
• Job Category
• Software Development
• Unified data intelligence platform
• N-iX is looking for a Senior Scala Software Engineer to join the Aggregates Engineering Team to help redefine how the world handles business intelligence
• Our customer is the semantic layer for modern data and AI
• They bridge the gap between complex cloud data platforms- like Snowflake, Databricks, and Google BigQuery- and the business users who need consistent, AI-ready analytics

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