Senior Automation Tester in Python

EPAM·Poland·Удалённо·сегодня

We are seeking a highly hands-on Senior Automation Tester who can architect and scale enterprise-grade test automation frameworks across data platforms, APIs, and cloud native systems.

Responsibilities

Own the design and evolution of a scalable, modular, metadata driven test automation framework supporting data pipelines, APIs and backend services, and end to end data product validation
Enable plug and play components, parallel execution, environment isolation, and deterministic runs
Build reusable frameworks supporting SQL based assertions, reconciliation, schema validation, and data contracts
Drive adoption by making frameworks easy to integrate into existing pipelines
Design tests for schema drift, backward incompatibility, late arriving data, and partial failures
Implement row, aggregate, and hash based reconciliation, along with incremental and backfill validation
Integrate and extend tools like Great Expectations and Soda to build custom validations for accuracy, completeness, uniqueness, and timeliness
Expose quality metrics, SLAs, and test outcomes through dashboards
Embed testing into pipelines through pre merge gates, release blockers, and integration with GitHub Actions, Jenkins, or similar tools
Define strategies for synthetic data generation, masking, anonymization, and deterministic datasets for repeatable testing
Design and execute pipeline and query performance benchmarks, concurrency and stress testing, and data skew analysis
Automate checks for PII or PHI exposure, encryption, access control, and data retention requirements

Requirements

5+ years of experience in Python automation test framework development
Strong background in SQL and data testing
Expertise in automation testing and quality engineering
Skills to define and implement automation roadmaps for data engineering and document intelligence projects
Understanding of ETL and streaming validation at scale, including window based and time based correctness checks
Familiarity with CI/CD and DataOps practices to enforce quality gates before production deployment
Capability to analyze production data issues, reduce flaky tests, and drive root cause fixes
English proficiency at B2 level or higher