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- Tasks: Design and implement STEP data models while developing business rules and workflow processes.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Attractive salary, flexible working hours, and opportunities for skill enhancement.
- Why this job: Be at the forefront of data management and make a significant impact.
- Qualifications: Experience in STEP development and strong JavaScript skills required.
- Other info: Fast-paced environment with great potential for career advancement.
The predicted salary is between 60000 - 80000 £ per year.
Mandatory skills:
- Design and implement STEP data models
- Develop and maintain:
- Business rules (JavaScript-based)
- Workflow processes for product/service approvals
- Data validation and quality rules
- Matching and deduplication logic
Senior STIBO STEP Developer in London employer: TestYantra Software Solutions
Contact Detail:
TestYantra Software Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior STIBO STEP Developer in London
✨Tip Number 1
Get familiar with STIBO STEP and its functionalities. Dive into the documentation and community forums to understand common challenges and solutions. This will help you speak confidently about your experience during interviews.
✨Tip Number 2
Showcase your JavaScript skills! Prepare examples of business rules you've developed in the past. We want to see how you can apply your coding knowledge to real-world scenarios, especially in data validation and quality rules.
✨Tip Number 3
Network with other professionals in the field. Join relevant LinkedIn groups or attend meetups focused on STIBO STEP. Engaging with others can lead to job opportunities and insider tips that we might not find on job boards.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your CV and cover letter to highlight your experience with workflow processes and deduplication logic, making it clear why you're the perfect fit for the role.
We think you need these skills to ace Senior STIBO STEP Developer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with STEP data models and JavaScript-based business rules. We want to see how you've tackled similar challenges in the past, so don’t hold back!
Be Specific: When describing your previous work, be as specific as possible. Mention the projects you’ve worked on, the workflows you’ve developed, and any data validation techniques you’ve implemented. This helps us understand your expertise better.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at TestYantra Software Solutions
✨Know Your STEP Data Models
Make sure you brush up on your knowledge of STEP data models before the interview. Be ready to discuss how you've designed and implemented these models in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your JavaScript Skills
Since business rules are JavaScript-based, be prepared to demonstrate your proficiency in JavaScript during the interview. You might be asked to solve a problem or explain a piece of code, so practice articulating your thought process clearly.
✨Discuss Workflow Processes
Have examples ready that showcase your experience with workflow processes for product/service approvals. Talk about specific workflows you've developed, the tools you used, and how they improved efficiency or quality in your previous roles.
✨Emphasise Data Quality and Validation
Data validation and quality rules are crucial in this role. Be prepared to discuss your approach to ensuring data integrity, including any matching and deduplication logic you've implemented. Highlight any metrics or outcomes that demonstrate your success in maintaining high data quality.