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- Tasks: Ensure quality and performance of Salesforce Health and Marketing Cloud solutions through test automation.
- Company: Join a dynamic team focused on healthcare innovation and marketing automation.
- Benefits: Enjoy a collaborative environment with opportunities for growth and learning.
- Why this job: Be part of a fast-paced team making a real impact in healthcare and marketing.
- Qualifications: Experience with Salesforce, Selenium, Python, SQL, and JavaScript required.
- Other info: Work independently while collaborating with various teams to enhance QA practices.
The predicted salary is between 36000 - 60000 £ per year.
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, 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 JavaScript
- 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
Automation QA Engineer(Selenium) – Salesforce Health & Marketing Cloud employer: Intellias
Contact Detail:
Intellias Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Automation QA Engineer(Selenium) – Salesforce Health & Marketing Cloud
✨Tip Number 1
Familiarise yourself with Salesforce Health Cloud and Marketing Cloud. Understanding the specific features and functionalities of these platforms will help you demonstrate your expertise during interviews and discussions.
✨Tip Number 2
Brush up on your Selenium skills, especially in the context of test automation. Consider working on personal projects or contributing to open-source projects that utilise Selenium to showcase your hands-on experience.
✨Tip Number 3
Network with professionals in the Salesforce ecosystem. Attend relevant meetups or webinars to connect with others in the field, which can lead to valuable insights and potential referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with API testing and data validation. Be ready to share specific examples of how you've used Python and SQL in previous roles to ensure data integrity and quality assurance.
We think you need these skills to ace Automation QA Engineer(Selenium) – Salesforce Health & Marketing Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Salesforce Health Cloud and Marketing Cloud, as well as your hands-on skills with Selenium and Python. Use specific examples to demonstrate your expertise in test automation and data validation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the responsibilities outlined in the job description, particularly your experience with API test development and collaboration with DevOps teams.
Showcase Relevant Projects: If you have worked on similar projects, include them in your application. Describe your role in restoring or extending QA models, validating data extracts, or collaborating with Data Engineering. This will help illustrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a QA Engineer.
How to prepare for a job interview at Intellias
✨Showcase Your Automation Skills
Be prepared to discuss your hands-on experience with Selenium and Python. Bring examples of test automation scripts you've developed, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Knowledge of Salesforce
Familiarise yourself with Salesforce Health Cloud and Marketing Cloud. Highlight any relevant projects you've worked on and be ready to discuss how you ensured quality and performance in those environments.
✨Understand Data Validation Processes
Since the role involves data validation and extract testing, brush up on SQL and be prepared to discuss how you've used it in previous roles. You might be asked to solve a problem or validate a dataset during the interview.
✨Emphasise Collaboration Skills
This position requires working closely with various teams like DevOps and Data Engineering. Be ready to share examples of how you've successfully collaborated in past projects, especially in fast-paced environments.
