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- Tasks: Design and develop APIs and Big Data pipelines for innovative projects.
- Company: Join Roku, a leading tech company in Manchester with a collaborative culture.
- Benefits: Enjoy a hybrid work environment and a comprehensive benefits package.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Make an impact by delivering robust data solutions in a dynamic team.
- Qualifications: 10+ years in software development with expertise in API and Big Data.
The predicted salary is between 60000 - 80000 £ per year.
Roku, Inc. is seeking a Senior Software Engineer based in Manchester, UK, to design and develop APIs and Big Data pipelines. The role demands deep expertise in API development via Spring Boot and knowledge of Apache Spark. You will work closely with cross-functional teams to deliver robust data solutions.
The ideal candidate has over 10 years of professional experience in software development, focused on building scalable systems. Start enjoying a hybrid work environment with a comprehensive benefits package supporting your well-being.
Senior Data Engineer - Ads Analytics & APIs employer: Roku, Inc.
Contact Detail:
Roku, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Ads Analytics & APIs
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Since you're eyeing a role in API development and Big Data, make sure you can talk confidently about Spring Boot and Apache Spark. We recommend doing some mock interviews with friends or using online platforms.
✨Tip Number 3
Showcase your projects! If you've built any cool APIs or data pipelines, make sure to have them ready to discuss. We love seeing real-world applications of your skills, so don’t be shy about sharing your GitHub or portfolio.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team, so don’t miss out on the chance to stand out!
We think you need these skills to ace Senior Data Engineer - Ads Analytics & APIs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with API development and Big Data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Spring Boot and Apache Spark!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you the perfect fit for our team. Let us know what excites you about working at Roku!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve building scalable systems or collaborating with cross-functional teams.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Roku, Inc.
✨Know Your APIs Inside Out
Make sure you brush up on your API development skills, especially with Spring Boot. Be ready to discuss your past projects and how you've designed and implemented APIs. This will show that you have the hands-on experience they’re looking for.
✨Showcase Your Big Data Knowledge
Since the role involves working with Big Data pipelines, be prepared to talk about your experience with Apache Spark. Bring examples of how you've used it in previous roles to solve complex data problems. This will demonstrate your technical expertise.
✨Collaboration is Key
Roku values teamwork, so think of examples where you've successfully collaborated with cross-functional teams. Highlight how you’ve communicated effectively and contributed to team goals. This will show that you can work well in their hybrid environment.
✨Prepare Questions About the Role
Have a few thoughtful questions ready about the position and the company culture. This not only shows your interest but also helps you gauge if the role is the right fit for you. Ask about their current projects or challenges they face in Ads Analytics.