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Lead DevOps Data Engineer

Posted 11 days agoViewed

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💎 Seniority level: Lead, 5+ years in DevOps or Data Engineering, 3+ years with cloud platforms, 3+ years in containerization and orchestration, 5+ years with databases and platforms, 3+ years in building data pipelines

📍 Location: Mexico

🔍 Industry: Energy, Material Science, Chemistry, AI technology

🏢 Company: NobleAI👥 11-50💰 $17,677,000 Series A almost 2 years agoArtificial Intelligence (AI)Oil and GasSustainabilityChemicalMachine LearningBatteryAdvanced MaterialsEnterprise SoftwareConsumer GoodsSoftware

🗣️ Languages: English

⏳ Experience: 5+ years in DevOps or Data Engineering, 3+ years with cloud platforms, 3+ years in containerization and orchestration, 5+ years with databases and platforms, 3+ years in building data pipelines

Requirements:
  • BSc Degree in Computer Science, Engineering or related field.
  • 5+ years working in DevOps or Data Engineering for enterprise software applications.
  • 3+ years of experience with cloud platforms (AWS, Azure, GCP).
  • 3+ years of experience in containerization and orchestration tools (Docker, Kubernetes).
  • 5+ years of experience with databases and platforms (Postgres, Hive, Snowflake, Databricks, Redshift, BigQuery, Athena).
  • 3+ years of experience in building data pipelines and analytics features.
Responsibilities:
  • Design, build, and maintain scalable and resilient data pipelines and workflows following engineering best practices.
  • Implement data storage and processing solutions using cloud technologies (e.g., AWS, Azure, GCP).
  • Develop CI/CD pipelines to automate deployment and testing of data applications.
  • Troubleshoot and resolve issues across infrastructure and data pipelines.
  • Collaborate with software engineers, data engineers, and research scientists to support their data needs.
  • Propose solutions based on technology market trends and articulate implementation details.
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