Job Description

Key Responsibilities

  • Create and maintain large-scale data processing systems and infrastructure.
  • Build robust, performant, and scalable data pipelines to ingest, transform, and store complex data from multiple sources.
  • Collaborate with data science and software engineering team members to provide required data in an accessible, timely, and accurate manner.
  • Optimize and refine processes, algorithms, and systems to enhance data quality and reliability.
  • Ensure data privacy and security compliance.
  • Implement monitoring, logging, and alert systems to ensure data pipeline health and performance.
  • Collaborate with infrastructure and IT teams to ensure optimal data storage and retrieval mechanisms.
  • Drive the optimization, testing, and tooling to improve data quality.
  • Mentor junior data engineers, imparting knowledge and promoting best practices.
  • Stay updated with emerging technologies and int...

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