- Company Name
- Largeton Group
- Job Title
- QA Data Engineer - Data Validation
- Job Description
-
**Job Title:** QA Data Engineer – Data Validation
**Role Summary:**
Senior QA Data Engineer responsible for end‑to‑end validation of data pipelines, APIs, and analytics workflows in CI/CD environments. Designs and implements automated test suites, builds monitoring dashboards, and ensures data quality across multiple platforms and devices. Actively collaborates with engineering, product, and data science teams, and mentors junior staff.
**Expectations:**
- Execute complex data validation tasks with minimal supervision.
- Deliver reliable automated tests and real‑time dashboards that meet stakeholder requirements.
- Communicate findings clearly to technical and non‑technical audiences.
- Demonstrate initiative in process improvement and tool adoption.
- Show readiness for future leadership opportunities.
**Key Responsibilities:**
1. Lead end‑to‑end data validation for pipelines, APIs, and analytics workflows.
2. Develop automated test frameworks using SQL, Python, and tools such as PyTest, WebdriverIO, Mocha.
3. Design, maintain, and enhance QA dashboards (Tableau, OpenSearch) for data quality visibility.
4. Identify, troubleshoot, and resolve data quality issues; document root causes and preventive actions.
5. Test and validate data on connected devices/platforms (iOS, Android, Roku, Apple TV, Samsung TV).
6. Integrate Git, YAML, and data governance practices into daily testing processes.
7. Evaluate and apply AI/ML‑based validation and automation tools.
8. Collaborate with cross‑functional teams, influence decisions, and lead initiatives without formal authority.
**Required Skills:**
- 5+ years of QA, data validation, or related technical experience.
- Proficiency in SQL, Python, and test automation frameworks (PyTest, WebdriverIO, Mocha).
- Experience with data visualization and dashboard tools (Tableau, OpenSearch).
- Version control (Git) and configuration management (YAML).
- Understanding of data governance frameworks.
- Familiarity with AI/ML‑based validation approaches.
- Strong analytical, problem‑solving, and communication abilities.
- Ability to work independently and influence cross‑functional partners.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
- Preferred certifications: ISTQB, Certified Data Management Professional (CDMP), or equivalent QA/ data‑engineering credentials.