Senior Quality Analyst

Location: New York

Job  Number: 26-00899

Title:

Senior Quality Analyst Posted Date:
Contact:
Vishika Chaudhary Contact Email: vishikachaudhary

Contact Phone:
Company: HAN Staffing

Job Description:

Senior Quality Analyst (Kafka Pipeline, AWS setup, Data Pipelines, Python, Payment integrity)

Location:

Saint Lois, MO/ Dallas (Brillio)/ New York (Brillio)/ Last option is remote
Experience- 7+ Years
We are seeking an experienced Senior Quality Analyst to support the project initiative. The ideal candidate will have strong experience
testing cloud-native, configuration-driven, event-based, and data-processing platforms.
This role requires hands-on expertise in Python-based test automation, AWS services, Kafka, data pipeline validation, API testing, database
testing, CI/CD, containerization, observability, and production-quality engineering.
Experience
7+ years of overall experience in software quality engineering or software engineering.
5+ years of hands-on experience testing AWS-based applications, Kafka integrations, and data pipelines.
Demonstrated experience designing and implementing automated testing frameworks using Python.

Key Responsibilities
Develop and execute comprehensive test strategies for the PISCES HUB platform.
Design and maintain Python-based automation frameworks for API, integration, data pipeline, and end-to-end testing.
Validate AWS-based data pipelines, event-driven workflows, and distributed application components.
Test Kafka producers, consumers, topics, partitions, schemas, offsets, retries, and failure-recovery scenarios.
Validate data accuracy, completeness, consistency, transformation logic, lineage, and reconciliation across pipelines.
Test configuration-driven solutions, including metadata-driven workflows, dynamic business rules, and configurable integration
frameworks.
Validate JSON-, YAML-, and XML-based configurations, including schema validation, version compatibility, error handling, and backward
compatibility.
Perform functional, integration, regression, system, and negative testing.
Validate REST APIs, asynchronous services, batch processes, and event-based integrations.
Test SQL and No

SQL databases for data integrity, rule-configuration storage, versioning, auditability, and rollback capabilities.
Integrate automated test suites with CI/CD pipelines and Git Ops workflows.
Test containerized workloads deployed using Docker, Kubernetes, Amazon EKS, and Amazon ECS.
Use Dynatrace to monitor application behavior, analyze logs and traces, identify performance bottlenecks, and support root-cause
analysis.
Collaborate with developers, architects, product owners, Dev Ops engineers, and data engineers to define acceptance criteria and
improve overall product quality.
Track defects through resolution and provide clear reporting on testing progress, quality risks, and release readiness.
Use Windsurf and other AI-assisted engineering tools to accelerate test-case creation, automation development, troubleshooting, and
documentation.
Required Technical Skills
Strong proficiency in Python, including the development of reusable automation frameworks and test utilities.
Hands-on experience with Python testing tools such as Pytest, unittest, requests, or equivalent frameworks.
Strong experience testing AWS data pipelines and cloud-native applications.
Hands-on knowledge of the following AWS services:
o Amazon EKS
o AWS Lambda
o Amazon ECS
o Amazon S3
o Amazon RDS
o Amazon DynamoDB
Strong experience testing Apache Kafka-based event-driven architectures.
Proven experience validating:
o Metadata-driven pipelines and workflows
o Dynamic business-rule engines
o Configuration-driven applications
o Configurable APIs and data-integration frameworks
Experience testing JSON-, YAML-, and XML-based configuration interpreters.
Strong SQL skills and experience validating relational and No

SQL data stores.
Understanding of database models used to store, version, audit, and retrieve rule configurations.

Experience with API testing tools and frameworks such as Postman, REST Assured, or Python Requests.
Strong understanding of CI/CD pipelines, Git, and Git Ops practices.
Hands-on experience with Docker, Kubernetes, and containerized application testing.
Strong working knowledge of Dynatrace for monitoring, observability, performance analysis, and troubleshooting.
Working knowledge of Windsurf or similar AI-assisted development tools.

Preferred Qualifications
Experience testing high-volume, distributed, event-driven platforms.

Experience with data reconciliation,…