Description:

Teramind is seeking a Senior Data Engineer to lead the design and implementation of their data infrastructure.
The role involves building scalable data pipelines that process and manage large volumes of user activity data.
The data infrastructure will support new features on the Teramind platform, making data readily accessible for machine learning models and analytics.
Responsibilities include designing robust data architecture, developing efficient data pipelines, managing data storage and retrieval systems, ensuring data quality, optimizing performance, and collaborating with data scientists and machine learning engineers.

Requirements:

Candidates must have 6+ years of experience in data engineering with a proven track record of delivering data-driven solutions.
Strong expertise in designing and building scalable data pipelines using industry-standard tools and frameworks is required.
Experience with big data technologies and distributed systems, such as Hadoop or Spark, is necessary.
Proficient programming skills in languages such as Python, Java, or Scala, along with a solid understanding of SQL and NoSQL database management systems, are essential.
Familiarity with data requirements for machine learning applications and optimization for model training is expected.
Experience with security data processing and compliance standards is preferred.
An advanced level of English is required.

This position is fully remote, allowing employees to work from anywhere.
Teramind offers a competitive salary focused on the global market.
There are career-growth opportunities available within the company.
Employees enjoy Flexible Time Off and Paid Time Off benefits.
Ongoing training and development opportunities are provided to support professional growth.