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Senior Data & Reliability Engineer

Posted 10 days agoViewed

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💎 Seniority level: Senior

📍 Location: United States

💸 Salary: 135000.0 - 180000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Flowhub

🗣️ Languages: English

🪄 Skills: DockerGraphQLPostgreSQLPythonSQLCloud ComputingData AnalysisGCPGitKafkaKubernetesReact.jsAlgorithmsAPI testingClickhouseData engineeringData StructuresCI/CDRESTful APIsMicroservicesAnsibleData modeling

Requirements:
  • Proven experience with performance tuning, data engineering, and/or reliability engineering within complex, high-traffic applications.
  • Strong background in relational databases (PostgreSQL preferred) and familiarity with query optimization and schema design best practices.
  • Experience in cloud environments, ideally Google Cloud Platform, with a solid understanding of scaling and managing data infrastructure.
  • Familiarity with frontend and backend performance best practices, with a focus on seamless interaction between services and databases.
Responsibilities:
  • Design and implement efficient data flows across Flowhub’s systems, ensuring data accuracy, consistency, and high performance for both internal and external users.
  • Partner with product managers, stakeholders, and the engineering team to improve application performance and reliability, particularly where the app meets the database layer.
  • Work closely with PostgreSQL and ClickHouse databases in GCP, identifying optimization opportunities and implementing data-driven performance improvements.
  • Implement data alerting systems to give a heads up for data drift, inaccuracies, and anomalies that need detection and corrective action.
  • Act as a subject matter expert on performance tuning and reliability practices, guiding other engineers and performing code and database schema reviews.
  • Enhance Flowhub’s observability tools to ensure smooth and responsive system performance, continuously monitoring and addressing latency and reliability issues.
  • Mentor and support teammates, sharing best practices in data movement, query optimization, and performance optimization across Flowhub’s engineering department.
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