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- Tasks: Optimize Apache Spark applications and develop high-performance solutions for big data processing.
- Company: Join a cutting-edge tech company focused on big data and high-performance computing.
- Benefits: Work on exciting projects with opportunities for growth and collaboration in a dynamic environment.
- Why this job: Be at the forefront of technology, tackling complex challenges and making a real impact.
- Qualifications: Strong Scala skills and experience with Apache Spark and distributed systems are essential.
- Other info: Nice-to-have skills include knowledge of cloud platforms and containerization technologies.
The predicted salary is between 43200 - 72000 £ per year.
Job Title: Scala Engineer – Apache Spark & HPC
Job Description:
We are seeking an experienced Scala Engineer to focus on accelerating Apache Spark workloads and developing high-performance solutions. This role requires expertise in Scala, a deep understanding of the JVM & domain-specific languages (DSLs), and experience with compilers or HPC.
Key Responsibilities:
- Optimise and accelerate Apache Spark applications for complex, large-scale data processing tasks.
- Develop and enhance JVM-based solutions to ensure performance, scalability, and reliability.
- Design and implement domain-specific languages (DSLs) and contribute to compiler optimisation pipelines.
- Collaborate on integrating solutions with Apache engine components and distributed systems.
- Troubleshoot, profile, and resolve performance bottlenecks in big data and HPC environments.
Required Skills and Experience:
- Strong proficiency in Scala programming and a deep understanding of the JVM ecosystem.
- Hands-on experience with Apache Spark, particularly in performance optimization.
- Solid knowledge of compilers, domain-specific languages (DSLs), or high-performance computing (HPC).
- Proven experience in designing, developing, and optimising distributed systems.
- Strong analytical skills and a focus on delivering efficient, high-quality solutions.
Nice-to-Have:
- Experience with other distributed computing frameworks or big data technologies.
- Knowledge of cloud-based platforms and containerisation (e.g., Kubernetes, Docker).
This is an exciting opportunity for a skilled engineer to work on cutting-edge projects at the intersection of big data and high-performance computing.
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Scala/Spark Optimization Engineer (HPC) employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scala/Spark Optimization Engineer (HPC)
✨Tip Number 1
Make sure to showcase your hands-on experience with Apache Spark in your discussions. Highlight specific projects where you optimized performance, as this will resonate well with our focus on accelerating workloads.
✨Tip Number 2
Familiarize yourself with the latest trends in high-performance computing (HPC) and domain-specific languages (DSLs). Being able to discuss recent advancements or challenges in these areas can set you apart during interviews.
✨Tip Number 3
Prepare to demonstrate your analytical skills by discussing how you've identified and resolved performance bottlenecks in previous projects. Real-world examples will help illustrate your problem-solving abilities.
✨Tip Number 4
If you have experience with cloud-based platforms or containerization technologies like Kubernetes or Docker, be ready to talk about how you've integrated these into your projects. This knowledge is a nice-to-have that could give you an edge.
We think you need these skills to ace Scala/Spark Optimization Engineer (HPC)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Scala/Spark Optimization Engineer position. Familiarize yourself with Apache Spark, JVM, and HPC concepts to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Scala programming, performance optimization in Apache Spark, and any work you've done with compilers or DSLs. Use specific examples to demonstrate your skills.
Showcase Problem-Solving Skills: Since the role involves troubleshooting and resolving performance bottlenecks, include examples of challenges you've faced in big data or HPC environments and how you successfully addressed them.
Tailor Your Application: Customize your application materials to reflect the language and key phrases used in the job description. This shows that you have a genuine interest in the position and understand what the company is looking for.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Scala Expertise
Be prepared to discuss your experience with Scala in detail. Highlight specific projects where you've optimized performance or developed solutions using Scala, especially in the context of Apache Spark.
✨Demonstrate Your Understanding of JVM
Since a deep understanding of the JVM is crucial for this role, be ready to explain how the JVM works and how you've leveraged it in your previous projects to enhance performance and scalability.
✨Discuss Performance Optimization Techniques
Prepare to talk about specific techniques you've used to optimize Apache Spark applications. Discuss any profiling tools you've used and how you identified and resolved performance bottlenecks.
✨Collaborate and Communicate
This role involves collaboration with various teams. Be ready to share examples of how you've worked with others on integrating solutions with distributed systems and how you approach troubleshooting in a team setting.
