Overview:
SOFTSWISS is hiring a Senior Test Automation Engineer to join our Data Platform team within Data Office department. You will design and implement automated tests that validate data accuracy and pipeline reliability, while partnering closely with Data Engineers and QA Engineers.
Key responsibilities:
Work effectively within a fully agile environment, collaborating with senior engineers while demonstrating the ability to own tasks independently
Review and analyze business requirements and technical specifications in collaboration with BAs and developers to ensure testability, clarity, and early bug prevention
Perform comprehensive testing of new features including manual testing and the development of automated scenarios with Gherkin syntax using existing automation framework
Create and maintain appropriate QA documentation for the team
Collaborate with other products regarding functionality of implemented solutions
Required Experience:
5+ years of experience in software quality assurance
Strong understanding of to ensure optimal test coverage test design techniques
Solid knowledge of any programming language (Java, C#, Python, or Typescript)
Strong understanding of SQL; ability to write complex SQL queries (joins, aggregations, groupings) for deep-level data validation
Professional experience with Spark and Spark SQL (Spark jobs, DataFrames/Datasets, data querying)
Experience with Delta Lake or/and with any of its implementations
Understanding of Behavior-Driven Development (BDD) concepts and hands-on experience with frameworks like Cucumber, SpecFlow, or similar
Strong knowledge of Git (branching, merging, rebasing, resolving conflicts)
Good understanding of containerization (running, inspecting and troubleshooting)
Hands-on experience using AI tools (e.g., GitHub Copilot, ChatGPT, or specialized QA agents) to accelerate test case generation, bug analysis, and script writing
Proactive communication skills with B1+ proficiency in both English and Russian
Strong troubleshooting skills and debugging skills for data discrepancies
Nice to have:
Basic knowledge of Scala programming language
Experience with Apache Airflow
Basic experience with Apache Kafka for testing event-driven systems
Practical experience with CI/CD pipelines and tools (e.g., GitLab CI, GitHub Actions, or similar), including interpreting pipeline failures
Ability to write and interpret Bash scripts for task automation and environment setup
Familiarity with AI Agents, Skills, and MCP. Experience in integrating AI capabilities into testing workflows to improve efficiency
Our Benefits:
Full-time remote work opportunities and flexible working hours
Private insurance
Additional 1 Day Off per calendar year
Sports program compensation
Comprehensive Mental Health Programme
Free online English lessons with a native speaker
Generous referral program
Training, internal workshops, and participation in international professional conferences and corporate events