Senior Software Engineer in Test

Total Experience Required: 8+ yr in Automation

Budget :upto 18lpa

Requirements:

Role: Quality Assurance Engineer (Data & API)

Type: Fulltime

SUMMARY

The Quality Assu

Engineer in Test (SDET) who can effectively test large datasets, craft complex SQL for data comparisons, and collaborate within a single, shared sprint cadence.

ESSENTIAL DUTIES AND RESPONSIBILITIES

? Configure, implement, and maintain autom

? Translate JIRA user stories and acceptance criteria into comprehensive test plans, scenarios, and data validation scripts.

? Ensure requirements traceability by mapping test cases and validation scripts directly to client requirements and acceptance criteria, maintaining clear documentation throughout the lifecycle.

? Design and execute unit, integration, smoke, regression, and endtoend tests aligned to the recommended QA & automation framework.

? Validate large datasets for completeness, accuracy, timeliness, lineage, and schema conformance, author complex SQL for data comparison.

? Coordinate with Engineering to enable shiftleft testing QA participates in grooming, planning, and daily standups; quality is a shared responsibility.

? Assist with user acceptance testing (UAT) and production validation, including postrelease smoke testing and regression cycles.

? Analyze test outputs, identify defects, document issues, and drive rootcause analysis; champion environment parity (VAL mirrors PROD).

? Contribute to release governance: freeze windows, QA gates, rollback plans, and release logs; ensure test evidence is captured.

? Continuously improve tools, templates, and processes; propose JIRA automation to autocreate QA stories from engineering stories.

? Develop domain knowledge of client data products, pipelines, integrations, and KPIs.

? Maintain comprehensive test documentation, including test cases, scripts, and results, to support audits and compliance.

? Conduct performance and security testing as required to ensure robust, scalable, and secure solutions.

? Advocate for user experience and usability in all testing activities.

AGILE & COLLABORATION EXPECTATIONS

? Active participant in Agile ceremonies (grooming, planning, standups, demos, retros) within a single, shared sprint cadence.

? Story readiness includes defined test criteria and data availability; QA estimates tracked alongside development.

? Promote predictable velocity by integrating automated tests into CI; definition of done includes tested and validated.

? Stay current with emerging QA tools, technologies, and best practices; proactively recommend improvements to processes and frameworks.

REQUIRED QUALIFICATIONS

? Former software developer or SDET with handson coding experience (Python preferred).

? Expertise in SQL and relational databases; able to design complex validation queries for large datasets.

? Demonstrated experience testing data pipelines, ETL/ELT workflows, and APIs in

highvolume environments.

? Practical knowledge of Airflow (or similar orchestration), DBT, and CI systems; experience validating DAG executions.

? Proficiency with automated testing tools (Selenium/Cucumber/Playwright for UI where applicable; Pytest for services; DBT for data).

? Proficiency with version control systems (e.g., Git) and defect tracking tools (e.g., Jira, Azure DevOps).

? Experience with JIRA and Agile development methodology; comfortable with shared

sprint delivery.

? Strong critical thinking; challenges ambiguous requirements and drives clarity in acceptance criteria.

? Excellent communication skills; able to partner with Product Owners and Engineers

to define testable stories.

PREFERRED / DOMAIN EXPERIENCE

? Experience with liveevent data, broadcast schedules, media assets, or fan engagement platforms.

? Experience with bigdata validation (Snowflake/BigQuery/Redshift) and performance testing of queries at scale.

? Familiarity with API contract testing, data lineage tools, and dataset comparison frameworks.

? ISTQB or equivalent certification is a plus.

? Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus.