Job Description – Test Engineer, Cloud & Data Key Responsibilities
·
Design, develop, and execute comprehensive test strategies for cloud-native data platforms. ·
Build and maintain automated test frameworks for platform, integration, API, and end-to-end testing. ·
Validate platform functionality across cloud services, infrastructure, data pipelines, and application integrations. ·
Develop automated tests for deployment pipelines, infrastructure changes, and cloud platform releases. ·
Ensure platform reliability, scalability, availability, and performance through thorough testing. ·
Verify data ingestion, transformation, storage, and consumption processes within the Corporate Lakehouse ecosystem. ·
Collaborate with Software Engineers, Platform Engineers, Data Engineers, Product Owners, and DevOps teams. ·
Perform non-functional testing including performance, resilience, failover, recovery, and security testing. ·
Support CI/CD implementation by integrating automated testing within deployment pipelines. ·
Contribute to quality engineering best practices and continuous improvement initiatives. Required Skills & Experience
Cloud Testing (Mandatory)
·
Strong experience testing cloud-native platforms on
AWS . ·
Hands-on experience with services such as: o
AWS S3 o
Lambda o
Glue o
EMR o
ECS/EKS o
RDS o
IAM o
CloudWatch ·
Understanding of cloud architecture, distributed systems, and microservices. ·
Experience validating infrastructure, platform services, APIs, and cloud deployments. Test Automation
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Strong automation skills using
Python . ·
Experience with test automation frameworks such as: o
PyTest o
Robot Framework o
Behave ·
API testing using Postman, Rest Assured, or equivalent tools. ·
Experience integrating automated tests within CI/CD pipelines. Platform & Integration Testing
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End-to-end platform testing experience. ·
Integration testing across multiple cloud services. ·
Experience validating platform resilience and operational stability. ·
Service virtualization and mock testing experience is desirable. Data Testing
·
Experience testing: o
ETL/ELT pipelines o
Data ingestion frameworks o
Data transformation processes o
Data quality and reconciliation ·
Strong SQL skills. ·
Familiarity with data warehouses and data lake technologies. DevOps & CI/CD
·
Experience with: o
Jenkins o
GitHub Actions o
Azure DevOps o
Bamboo ·
Understanding of Infrastructure as Code (Terraform preferred). ·
Experience testing in Agile/DevOps environments. Preferred Qualifications
·
Experience with Corporate Data Lakehouse platforms. ·
Knowledge of Databricks, Snowflake, or equivalent cloud data platforms. ·
Experience with performance and load testing tools. ·
Understanding of security and compliance testing for cloud platforms. ·
Experience within Financial Services or Payments domain. What We Are Looking For
We are
not
seeking a traditional Data Test Engineer whose experience is primarily limited to ETL or database validation. We are looking for a
Cloud-focused Test Engineer
who can validate and automate testing across an enterprise-scale cloud platform while also possessing sufficient data testing capability to support the Corporate Lakehouse ecosystem. Primary Focus:
Cloud Platform Testing (70%) Secondary Focus:
Data & ETL Testing (30%)
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Test Engineer, Cloud & Data in Milton employer: Response Informatics
As a Credit Collections Specialist at our company, you will thrive in a dynamic work environment that prioritises employee development and collaboration. We offer competitive benefits, a supportive culture that encourages innovation, and ample opportunities for professional growth, all while being located in a vibrant area that fosters both personal and career advancement.
