Senior Automation Tester in Python

We are seeking a highly hands-onSenior 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

Nice to have

• Familiarity with DBT and CI/CD (DevOps) practices