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Senior Data Engineer

Posted 5 days agoViewed

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💎 Seniority level: Senior, 6+ years

📍 Location: Costa Rica, Brazil, Argentina, Chile, Mexico

🔍 Industry: Insider Risk Management

🏢 Company: Teramind👥 51-100Productivity ToolsSecurityCyber SecurityEnterprise SoftwareSoftware

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: PythonSQLApache HadoopETLMachine LearningAzureData engineeringNosqlComplianceScalaData visualizationData modelingData management

Requirements:
  • 6+ years of experience in data engineering, with a proven track record of successfully delivering data-driven solutions.
  • Strong expertise in designing and building scalable data pipelines using industry-standard tools and frameworks.
  • Experience with big data technologies and distributed systems, such as Hadoop, Spark, or similar frameworks.
  • Proficient programming skills in languages such as Python, Java, or Scala, alongside a solid understanding of database management systems (SQL and NoSQL).
  • Understanding of data requirements for machine learning applications and how to optimize data for model training.
  • Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices.
Responsibilities:
  • Design and implement robust data architecture tailored for AI-driven features, ensuring it meets the evolving needs of our platform.
  • Build and maintain efficient data pipelines for processing user activity data, ensuring data flows seamlessly throughout our systems.
  • Develop comprehensive systems for data storage, retrieval, and processing, facilitating quick and reliable access to information.
  • Ensure high standards of data quality and availability, enabling machine learning models to produce accurate and actionable insights.
  • Enhance the performance and scalability of our data infrastructure to accommodate growing data demands and user activity.
  • Work closely with data scientists and machine learning engineers to understand their data requirements and ensure data solutions are tailored to their needs.
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