Senior Data Engineer

Summary

Join Teramind, a global leader in Insider Risk Management and User Behavior Analytics, as a Senior Data Engineer. You will lead the design and implementation of our data infrastructure, building scalable data pipelines to process large volumes of user activity data. This critical role requires expertise in data architecture, pipeline development, and data management, ensuring high data quality and availability for machine learning models. We offer a remote work environment, competitive salary, career growth opportunities, flexible time off, and ongoing training. If you're passionate about data and want to make a significant impact, we encourage you to apply.

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
• Advanced English level

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

Preferred Qualifications

Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices

Benefits

• Competitive salary with a focus on a global market
• Career-growth opportunities
• Flexible Time Off and Paid Time Off benefits
• Ongoing training and development opportunities