Banking Data Test Engineer

9 hours ago

الرياض, Saudi Arabia Expleo Full time

Overview:
**Responsibilities**:
**Key Responsibilities**:

- Design and execute test strategies for **GCP-based data platforms, Liferay DXP, and APIs**.
- Perform **functional, automation, API, ETL, and performance testing**.
- Ensure seamless **data integration and validation** across cloud storage, data processing, and analytics platforms.
- Develop and execute **test scripts and automation frameworks** for CI/CD pipelines.
- Work closely with developers, architects, and DevOps teams to enhance testing coverage.
- Monitor system performance, security compliance, and data integrity.

**Required Skills & Experience**:

- ** 5+ years** of experience in software testing, with expertise in:

- ** Cloud Testing (GCP)** - BigQuery, Dataflow, Cloud Storage, Pub/Sub, API Gateway (APIGEE).
- ** ETL Testing** - Apache Airflow (Cloud Composer), DataStage, BigQuery.
- ** API Testing** - RESTful APIs, OAuth, SSO, LDAP.
- ** Liferay DXP Testing** - Java, Tomcat, PostgreSQL, UI Customization.
- ** Performance Testing** - Load testing of data pipelines and integrations.
- ** CI/CD & Automation** - Terraform, Cloud Build, GitHub CI/CD.
- Strong understanding of **IAM policies, data encryption, and security best practices**.
- Hands-on experience with **monitoring & logging tools (Cloud Logging, Looker Dashboards, etc.)**.

**Preferred Qualifications**:

- Experience with **Kubernetes (GKE), Terraform, and Cloud Functions**.
- Exposure to **data governance and compliance testing** in cloud environments.
- Certification in **Google Cloud, ISTQB, or Liferay DXP** is a plus.

**Why Join Us?**
- Work on cutting-edge **cloud-native solutions** with leading technologies.
- Collaborative and growth-oriented work culture.
- Opportunity to work on **high-impact data products and analytics**.

Qualifications:
Looking for Testers with technology stack and details below:
**1. Cloud Platform**:

- Google Cloud Platform (GCP)
- Key Services: BigQuery, Cloud Storage, Dataflow, Pub/Sub, API Gateway (APIGEE)
- Infrastructure: Virtual Machines (VMs), Kubernetes Engine (GKE)

**2. Data Lake Components**:

- Storage:

- Google Cloud Storage Buckets
- Data Processing:

- Airflow (via Cloud Composer), Dataflow, Dataproc, Cloud Functions
- Database:

- BigQuery
- ETL Pipelines:

- Apache Airflow (via Cloud Composer), DataStage (On-Prem)

**3. Data Portal (Liferay) Stack**:

- Liferay DXP
- Backend:

- Java
- Tomcat
- PostgreSQL
- Frontend:

- Liferay Themes & Fragments (for UI customization)
- Authentication & Security:

- OAuth, SSO, LDAP, and other security configurations

**4. Data Products**:

- Dashboards, Reports, and Analytics developed using Looker

**5. Integration Points**:

- RESTful APIs for integration between the Data Portal, Data Lake, and other external systems

**6. CI/CD Pipeline (if applicable)**:

- Terraform
- Cloud Build
- GitHub CI/CD

**7. Security and Compliance**:

- IAM roles and policies in GCP
- Data encryption (both in transit and at rest)

**8. Monitoring and Logging**:

- Cloud Logging for services across GCP and Liferay

**Experience**:
10+ years of experience

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