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Intellias, une entreprise innovante, recherche un ingénieur QA Salesforce pour garantir la qualité et la performance des solutions sur Salesforce Health Cloud et Marketing Cloud. Vous jouerez un rôle essentiel dans l'automatisation des tests et la validation des données, tout en collaborant avec des équipes de DevOps et d'ingénierie des données. Ce poste unique combine expertise de la plateforme Salesforce et pratiques modernes d'automatisation des tests, vous permettant de réaliser un impact significatif dans des initiatives critiques pour le secteur de la santé et du marketing.
Join our dynamic team as a Salesforce QA Engineer where you'll play a critical role in ensuring the quality, performance, and integrity of infrastructure-driven solutions across Salesforce Health Cloud and Marketing Cloud. This is an exciting opportunity to contribute to a highly collaborative, fast-paced environment focused on healthcare innovation and marketing automation.
Project Overview :
The project centers on maintaining and enhancing an enterprise-grade Salesforce Health Cloud and Marketing Cloud implementation. The scope includes restoring and extending an existing test automation model that supports data validation and quality assurance processes for outbound production pipelines. Integration with Snowflake, extract validation, and API development are key components. The role also supports infrastructure deployments and data flows from upstream sources through to production.
Requirements :
Proven experience with Salesforce Health Cloud and / or Marketing Cloud QA
Strong hands-on skills with Selenium for test automation
Experience with Python for API test development
Solid understanding of SQL for data validation and extract testing
Experience working with Snowflake or similar cloud-based data platforms
Familiarity with data quality frameworks and production release cycles
Ability to work independently while collaborating with DevOps, Data Engineering, and Application Development teams
Responsibilities :
Develop and maintain test automation scripts using Selenium and Python
Restore and extend a previously implemented QA model tailored to the client’s environment
Validate outbound extracts and ensure data integrity across systems
Collaborate with Data Engineering to test data pipelines and workflows in Snowflake
Work closely with DevOps to ensure production pushes are tested, stable, and compliant
Identify and resolve data quality issues through rigorous validation and automated checks
Contribute to continuous improvement of QA practices and infrastructure integration
Why this position :
This role offers the unique opportunity to blend Salesforce platform expertise with modern test automation and cloud data engineering practices. You'll be instrumental in ensuring the success of business-critical initiatives in healthcare and marketing domains while working with advanced tools like Snowflake, Selenium, and Python. If you're passionate about data quality, infrastructure stability, and scalable automation, this role will allow you to thrive and make a tangible impact.