QA Intern: Database Testing & SQL Automation

Opensee Sas; Paris; Sur place; EUR 10 000 - 15 000; Plein temps

Avantages offerts par ce poste

Mentorship from QA engineers

Hands-on testing pipelines

Exposure to CI/CD tools

Résumé du poste

Opensee SAS in Paris is seeking a motivated QA Intern to strengthen our automated testing framework. You’ll design a Python-based utilities to connect to PostgreSQL and ClickHouse, and write SQL queries to validate data across Dockerized, Kubernetes-deployed environments.

You’ll collaborate with QA engineers and developers to expand test coverage, document processes, and learn modern QA engineering practices in a fast-growing AI data platform for finance.

Qualifications

• Academic background in Computer Science, Software Engineering, or related field.
• Solid foundation in Python programming.
• Understanding of database structures and relational models.
• Proficiency in SQL for querying and validation.
• Familiarity with Git and version control.
• Strong problem-solving and communication skills.

Responsabilités

• Develop Python-based utilities to connect to different types of databases (PostgreSQL and Clickhouse).
• Create and run queries to validate data consistency, accuracy, and performance across environments.
• Understand and improve existing QA test suites.
• Write and optimize SQL queries for validation and performance checks.
• Ensure automated tests run seamlessly across multiple distributed environments (Docker/Kubernetes).
• Collaborate with QA engineers and developers to expand test coverage.
• Document your work and share best practices with the team.

Connaissances

Python

SQL

Git

Communication

Problem-solving

Formation

Computer Science background

Outils

PostgreSQL

ClickHouse

Docker

Kubernetes

pytest

Playwright

Description du poste

Opensee SAS in Paris is seeking a motivated QA Intern to strengthen our automated testing framework. You’ll design a Python-based utilities to connect to PostgreSQL and ClickHouse, and write SQL queries to validate data across Dockerized, Kubernetes-deployed environments.

You’ll collaborate with QA engineers and developers to expand test coverage, document processes, and learn modern QA engineering practices in a fast-growing AI data platform for finance.