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Senior Software Engineer KWT

Posted 2024-10-13

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💎 Seniority level: PhD in database systems or equivalent experience

📍 Location: US, EU, Canada, US Eastern time, Central European time

🔍 Industry: Data Learning, Cloud-based Data Analytics

🏢 Company: Keebo

🗣️ Languages: English

⏳ Experience: PhD in database systems or equivalent experience

🪄 Skills: SQLArtificial IntelligenceETLMachine LearningSnowflakeAlgorithms

Requirements:
  • A PhD in database systems or a track record of working on products focusing on database internals and/or query optimization.
  • Experience building scalable, reliable products and features, and desire to work in a fast-paced, startup-like environment.
  • Track record of rapidly prototyping ideas and building MVPs for customer feedback.
  • Experience using algorithm development for performance enhancing projects.
  • Strong desire to partner with product to turn customer requirements into well-specified, technical work.
  • Passion for mentoring engineers in database optimization knowledge and rapid delivery.
  • Writes clean, high quality, well-documented, readable code, with good test coverage.
  • Extensive familiarity with ETL pipelines, SQL, databases, data warehouses, and big data processing tools.
  • Experience with object-oriented programming best practices.
  • Skilled at communicating effectively in a distributed environment with people across multiple time zones.
  • Ability to work in US Eastern time or Central European time.
  • Extreme sense of ownership, from requirements gathering with product and customers all the way to running and monitoring production deployments and service reliability and scalability.
Responsibilities:
  • Partner with product and work directly with customers to deeply understand customer needs with regards to query performance tuning and query cost optimization.
  • Perform data-driven research to identify innovative solutions to solve customer pain points.
  • Create tightly-scoped greenfield products and features, designed for fast iteration based on customer feedback.
  • Build algorithms to automatically optimize queries for cost and performance.
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