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Staff Data Engineer, Observability Data Lake

Posted 4 days agoViewed

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💎 Seniority level: Staff, A minimum of 7 years of experience

📍 Location: United States of America

💸 Salary: 106605.0 - 213210.0 USD per year

🔍 Industry: Healthcare

🗣️ Languages: English

⏳ Experience: A minimum of 7 years of experience

🪄 Skills: SQLClickhouseData engineering

Requirements:
  • A minimum of 7 years of experience in database engineering, with a focus on SQL query optimization and data management.
  • Strong proficiency in SQL and experience with query optimization techniques.
  • Expertise in managing and optimizing both structured and unstructured data.
  • Experience with ClickHouse for high-speed data storage and retrieval.
  • Familiarity with data pipeline tools, particularly Vector.dev.
  • Strong analytical skills, with a focus on delivering actionable insights and improvements.
  • Excellent problem-solving skills and the ability to work collaboratively in a dynamic, fast-paced environment.
  • Strong communication and interpersonal skills, capable of working effectively with diverse teams.
  • Experience with modern development tools and practices, including version control, continuous integration/continuous deployment (CI/CD), and agile methodologies.
Responsibilities:
  • Optimize SQL queries to ensure high performance and efficiency in data processing and retrieval.
  • Manage and optimize the storage and retrieval of both structured and unstructured data within the observability data lake.
  • Collaborate with the Technical Lead and other team members to support the architecture, engineering, and optimization of the observability data lake.
  • Leverage ClickHouse for high-speed data storage and retrieval, ensuring seamless integration with data pipelines and visualization tools.
  • Work closely with the data pipeline team to ensure efficient data ingestion and correlation at scale using Vector.dev.
  • Implement best practices for database management, including indexing, partitioning, and query optimization.
  • Create and maintain documentation for database schemas, query optimization techniques, and data management processes.
  • Troubleshoot and resolve database-related issues, providing expert guidance and solutions to enhance performance.
  • Stay updated on the latest technologies and practices in database management and optimization.
  • Participate in project meetings, providing technical oversight and contributing to the successful delivery of observability solutions.
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