Sr. QA Test Automation Engineer
$70 - $85 per hourApex Systems
Sr. QA Test Automation Engineer
Location: St. Louis, Missouri (Partial Remote) onsite 4 days per week Employment Type: Contract Role Overview We are seeking an experienced Senior Quality Assurance Test Automation Engineer to join a product delivery team responsible for a high-scale data ecosystem. This role focuses on the automated validation of APIs, data transformations, and downstream reporting for a cloud-based big data analytics platform. You will be responsible for defining and implementing a data-aware automation approach to ensure data correctness across ingestion, transformation, storage, and consumption. Key Responsibilities- Design, develop, and maintain test automation frameworks and test scripts for cloud-based applications.
- Build and evolve automation that validates services, data pipelines, and data outputs across environments.
- Create comprehensive test plans and strategies covering functional risk, integration points, regression, and non-functional requirements.
- Write complex database queries, perform end-to-end testing, and analyze data to validate cloud infrastructure and services.
- Execute API testing and performance baselining to identify bottlenecks and reliability risks.
- Create reusable test data, manage test artifacts, and contribute to sprint planning and estimation.
- Investigate defects using logs and telemetry, collaborating with team members to troubleshoot issues and validate fixes.
- Provide technical thought leadership and mentor peers on automation patterns and testing processes.
- Writing and analyzing complex data queries and automation scripts for testing large datasets.
- Testing analytics, data processing, or data-driven platforms at scale.
- Testing service-based architectures, including REST APIs and event-driven workflows.
- Strong scripting ability in Python and/or Java.
- Advanced SQL skills and experience with relational databases such as Redshift.
- Experience with tools like Java, Selenium, JupyterLab, Jira, and Xray.
- Familiarity with AWS cloud services such as EC2, S3, RDS, Glue, Lambda, and SageMaker.
- Proficiency with API and performance testing tools like Postman or Gatling.
- Familiarity with CI/CD practices and version control.
- Knowledge of Infrastructure as Code (IaC) tools is preferred.
- Knowledge of security testing methodologies for cloud environments is considered a bonus.
- Exposure to data governance validation.
Vacancy posted 3 days ago
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