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

• Posted 11 hours ago • Updated 35 minutes ago
Full Time
Part Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • SAINT
  • Marketing Operations
  • Unit Testing
  • Cloud Computing
  • Amazon Web Services
  • Amazon EKS
  • Amazon Lambda
  • Amazon ECS
  • Amazon S3
  • Amazon RDS
  • Amazon DynamoDB
  • Apache Kafka
  • Meta-data Management
  • Workflow
  • Business Rules
  • Data Integration
  • Testing
  • JSON
  • YAML
  • XML
  • SQL
  • NoSQL
  • Database
  • Auditing
  • API QA
  • POSTMAN
  • Python
  • Continuous Integration
  • Continuous Delivery
  • Git
  • Docker
  • Kubernetes
  • Quality Assurance
  • Dynatrace
  • Performance Analysis
  • Artificial Intelligence

Summary

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

Location: Saint Lois, MO/ Dallas / New York,NY(Hybrid)

Experience- 7+ Years

C2C or W2

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 NoSQL 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 GitOps 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91112461
  • Position Id: OOJ - 3460-2461-1788217704
  • Posted 11 hours ago
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