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- Tasks: Ensure quality and performance of Salesforce Health Cloud and Marketing Cloud solutions.
- Company: Join a dynamic team focused on healthcare innovation and marketing automation.
- Benefits: Enjoy a collaborative, fast-paced environment with opportunities for growth.
- Why this job: Be part of a project that enhances healthcare solutions and impacts lives positively.
- Qualifications: Experience with Salesforce QA, Selenium, Python, SQL, and JavaScript required.
- Other info: Work closely with DevOps and Data Engineering teams in a supportive atmosphere.
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
Python QA Automation Engineer employer: Intellias
Contact Detail:
Intellias Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python QA Automation Engineer
✨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 for Salesforce applications. Being able to showcase your hands-on experience with Selenium will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the QA and Salesforce communities. Engaging with others in the field can provide insights into best practices and may even lead to referrals or recommendations for our open positions.
✨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 Python QA Automation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Salesforce Health Cloud and Marketing Cloud QA. Emphasise your hands-on skills with Selenium and Python, as well as your understanding of SQL and JavaScript.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to develop and maintain test automation scripts and validate data integrity.
Showcase Relevant Projects: If you have worked on similar projects, include them in your application. Describe your role in restoring and extending QA models, testing data pipelines, and collaborating with cross-functional teams.
Highlight Collaboration Skills: Since the role requires collaboration with DevOps and Data Engineering teams, mention any previous experiences where you successfully worked in a team environment to achieve project goals.
How to prepare for a job interview at Intellias
✨Showcase Your Salesforce Knowledge
Make sure to highlight your experience with Salesforce Health Cloud and Marketing Cloud during the interview. Be prepared to discuss specific projects where you ensured quality and performance, as this will demonstrate your understanding of the platform's intricacies.
✨Demonstrate Your Automation Skills
Since the role requires strong hands-on skills with Selenium and Python, be ready to talk about your previous automation projects. Consider bringing examples of test scripts you've developed and how they improved the QA process.
✨Discuss Data Validation Techniques
Given the emphasis on data validation and extract testing, be prepared to explain your approach to ensuring data integrity. Discuss any SQL experience you have and how you've used it in past roles to validate data effectively.
✨Emphasise Collaboration Experience
This position involves working closely with various teams like DevOps and Data Engineering. Share examples of how you've successfully collaborated in a team environment, particularly in fast-paced settings, to show that you can thrive in their dynamic culture.
