QA Engineer

Responsibilities

• Collaborate in the planning, design, development, and deployment of data integration products and DWH
• Develop and maintain test suites to verify the validity and accuracy of Data Integration and ETL processes
• Drive AI integration across QA processes, including monitoring, testing, and automated code review
• Define and describe data policies, standards, and guidelines for data source connections
• Design and implement reconciliation, monitoring, alerting, and other data quality processes
• Investigate and resolve data quality issues
• Participate in user acceptance testing and analyze new features

Requirements

• 4+ years of experience as a Quality Assurance Engineer
• Proven experience leveraging AI tools and agents (e.g., Cursor, Claude Code)
• Expert SQL knowledge, specifically in ClickHouse
• Automation experience with Python and pytest
• Experience with data streaming products like Kafka Connect or Flink
• Understanding of data modeling, warehousing, ETL, and data integration
• Upper-intermediate English proficiency

Preferred Qualifications

• Hands-on testing experience with stream processing systems
• Experience with Docker and Kubernetes
• Experience with Grafana, PagerDuty, or Terraform
• Upper-intermediate Russian proficiency

About the Company

Exness is a leading global trading broker that processes over 40 million trades a day. With a team of over 2,000 people across 13 countries, they combine scale and technology to provide trading services to over 1 million clients worldwide.