Test Engineer, Cloud & Data

Job Description – Test Engineer, Cloud & Data

Please ensure you read the below overview and requirements for this employment opportunity completely.
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 · 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 · 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. xwzovoh 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%)