Data QA Engineer with AI (Florencio Varela)

Data QA Engineer with AI (Florencio Varela)

24 may
|
Svitla Systems
|
Florencio Varela

24 may

Svitla Systems

Florencio Varela

Svitla Systems Inc. is looking for a Data QA Engineer with AI for a full-time position (40 hours per week) in Argentina. Our client is charting a bold new path for investor relations as the first AI-driven IR Ops Platform, providing everything an IR team needs to succeed on a single, powerful platform. The platform enables public companies to attract, manage, and understand investors - all in one place. Over 2,600 customers, including many of the world's most respected brands, trust the client to help drive premium valuations for their companies. Only the client offers a tech stack designed holistically to equip IR teams with data, insights, and smart workflows that drive remarkable outcomes.

Requirements
- 3+ years of experience in a data quality or QA engineering role in software development.
- Experience with AI-powered testing tools (e.g., Testim, Mabl, Applitools, Functionize, CodiumAI, etc.) to boost automation and efficiency.
- Hands‑on experience of use of generative AI (ChatGPT, Copilot, LLMs) for test case/script generation, scenario creation, or defect analysis.




- Strong background in intelligent/self‑healing test automation frameworks.
- Understanding of AI‑assisted data validation (e.g., anomaly detection, predictive prioritization).
- Experience automating ETL/ingestion pipeline testing; financial data is a strong plus.
- Strong understanding of SQL for data manipulation and validation.
- Knowledge of Python for test automation and streamlining processes.
- Solid understanding of data exploration and analysis using relevant tools.
- Strong knowledge of Agile, CI/CD, QA methodology, and processes.
- Hands‑on experience with bug tracking and test management tools (JIRA, TestRail).
- Excellent written and oral communication.
- Be comfortable in dynamic environments with frequent change.
- Passion for continuous learning and adopting the latest QA tools/practices.

Responsibilities
- Leverage AI-powered tools and generative AI to automate test case genera

📌 Data QA Engineer with AI (Florencio Varela)
🏢 Svitla Systems
📍 Florencio Varela

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