Remote Database Engineer

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Description:

  • Pavago is seeking a Database Engineer for a contract, full-time, remote position.
  • The role involves supporting an innovative project that integrates advanced algorithms and dynamic user interactions for a client.
  • The project focuses on the analysis and visualization of large-scale engineering datasets, requiring expertise in database architecture and optimization.
  • Key responsibilities include designing, optimizing, and enhancing database systems for large-scale data operations, implementing robust data pipelines, and enhancing database performance through SQL query optimization and indexing.
  • The engineer will collaborate with the development team to enable real-time user interactions with graph data and assist in refining proprietary algorithms for better insights.
  • Contributions to the integration of machine learning frameworks for improved data processing and analysis are also expected.

Requirements:

  • Candidates must have strong knowledge of SQL, C#, and Python for database optimization and algorithm integration, along with familiarity in big data technologies, cloud services (Azure, MongoDB, NoSQL), and machine learning frameworks like TensorFlow or PyTorch.
  • Exceptional analytical and problem-solving abilities are required, as well as strong communication skills and proficiency with project management tools such as Asana, Azure Boards, Slack, or Jira.
  • A minimum of 3-5 years of proven experience in database design and optimization, developing data pipelines for large-scale operations, and working in fast-paced environments with cross-functional teams is necessary.

Benefits:

  • The position offers the opportunity to work on cutting-edge projects at the intersection of data optimization and innovation.
  • Candidates will have the chance to enhance their skills in a collaborative and independent work environment.
  • The role provides exposure to advanced technologies and methodologies in database management and machine learning integration.
  • A structured interview process ensures a thorough assessment of candidates' technical proficiency and alignment with project needs.
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