Job Description

Job openings for Quality Assurance Engineer in Chennai





Role: Quality Assurance Engineer (Data & API)

SUMMARY

The Quality Assurance Engineer partners with Engineering, Data, and Development

teams to ensure client requirements are implemented correctly and reliably across

highvolume data pipelines. This role reviews requirements, designs test strategies, and

executes automated and manual validationemphasizing shiftleft practices and

repeatable automation. Candidates are former developers or Software Development

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 automated testing frameworks for data and API

validation (DBT tests, Pytest, SQL validators).

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.


Experience 3 - 9 Years


Salary 5 Lac To 18 Lac P.A.


Industry Manufacturing / Production / Quality


Qualification


Key Skills Automation Testing

DBT Test

Pytest

SQL Validators

Complex SQL

Agile Ceremonies

Relational Databases

ETLELT Workflows

Data Pipelines Testing

Airflow

DAG Executions

Selenium

Cucumber

Playwright

JIRA

Data Validation

ISTQB

Python