Test Engineer, Cloud & Data

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 · 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. 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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