EPAM Systems

Senior Automation Tester in Python

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SeniorZdalnieFull-time

#446593·Dodano 25 dni temu·6

Źródło: EPAM Systems

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Tech Stack / Keywords

Python SQLdbtCI/CDGreat ExpectationsSodaGitHub Actions Jenkins GCP Azure

Podsumowanie oferty

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. The role focuses on designing scalable, modular, metadata-driven test automation frameworks to support data pipelines, backend services, and end-to-end data product validation. The tester will integrate automated quality checks into pipelines and define strategies for data validation, synthetic data generation, and performance benchmarking.

Wymagania

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

Nice to have:

Familiarity with dbt and CI/CD (DevOps) practices

Obowiązki

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

Benefity

Career development programs
Thought leadership, mentoring, soft skills and well-being programs
Certification (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay
Participation in the Employee Stock Purchase Plan with a 15% discount
Benefits package (health insurance, multisport, shopping vouchers)
Referral bonuses up to $2,000
Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
Corporate, social and well-being events

Opieka zdrowotna

Karta sportowa

Premie

Udziały pracownicze

Napoje w biurze

Darmowe przekąski

Dofinansowanie szkoleń

Budżet konferencyjny

Kursy językowe

Spotkania integracyjne

Inne informacje

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

EPAM Systems

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