{"id":3323292,"url":"https://alion.io/job/epam-systems-bigdata-test-automation-specialist","title":"BigData Test Automation Specialist","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"D","score":52,"open_postings":67,"ghost_share":0.776,"stale_share":0,"repost_share":0.09,"time_to_fill_p50_days":46,"computed_at":"2026-10-29T05:49:05Z"}},"role":"QA","role_family":"QA","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":150000,"currency":"CHF","period":"year","gross":null,"usd_annual":181272},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Testcontainers","optional":false},{"name":"Trino","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-10-26T23:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-26T23:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for a BigData Test Automation Specialist to join our team in Zurich. This role focuses on designing and implementing a robust, multi-layered testing strategy for a modern big data platform within the banking sector. You will work with cutting-edge technologies including Trino, Kafka, Iceberg and Dataiku to ensure data quality, platform resilience and overall system integrity.\nWe offer/Benefits\n- 5 weeks of vacation\n- EPAM Employee Stock Purchase Plan (ESPP)\n- Enhanced parental leave\n- Extended pension plan\n- Daily sickness allowance insurance\n- Employee assistance program\n- Global business travel medical and accident insurance\n- Learning and development opportunities including in-house training and coaching, professional certifications, and courses\n*All benefits and perks are subject to certain eligibility requirements\n- Please note that any offers will be subject to appropriate background checks\n- We do not accept CVs from recruiting or staffing agencies\n- For this position, we are able to consider applications from the following:\n- Swiss nationals\n- EU/EFTA nationals\n- Third-country nationals based in Switzerland with an appropriate work permit\n- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits\nRequirements\n- Strong experience with Python and the Pytest framework for test automation\n- Hands-on experience with big data technologies like Trino, Hive, Kafka or S3\n- Proficiency with data quality and validation tools\n- Experience with containerization and mocking tools like Docker, Testcontainers\n- Proven ability to test streaming applications and event-driven architectures\n- Knowledge of scripting for cloud object storage interaction\n- Experience with MLOps platforms, preferably Dataiku\n- Proven experience building and managing CI/CD pipelines (e.g. GitHub Actions, GitLab CI)\n- Familiarity with SQL transformation tools like dbt or SQLMesh\n- Understanding of data versioning concepts\n- Fluent in English\nResponsibilities\n- Design and implement comprehensive test automation strategies for a big data platform\n- Develop and maintain scalable test frameworks\n- Implement declarative data quality checks for schemas\n- Create and manage automated tests for complex SQL transformations\n- Test and validate Hive metastore schemas and data integrity\n- Develop tests for streaming data pipelines using Kafka and Testcontainers\n- Automate Dataiku DSS scenarios and integrate them into CI/CD pipelines\n- Build and optimize CI/CD infrastructure for efficient big data testing\n- Perform resilience and chaos testing to ensure platform stability\n- Use data versioning patterns like Write-Audit-Publish for isolated and safe testing","description_format":"text","description_chars":2725,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Parental 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