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- Tasks: Develop and optimise big data solutions using Scala and Spark.
- 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 big data technology and make a real difference.
- Qualifications: Proficiency in Scala, Spark, Hive, and experience in big data technologies.
- Other info: Fast-paced environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Spark – Must have
Scala – Must Have hands on coding
Hive & SQL – Must Have
Note: At least Candidate should know Scala coding language. Pyspark profile will not help here.
Interview includes coding test.
Job Description:
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Scala/Spark
• Good Big Data resource with the below Skillset:
§ Spark
§ Scala
§ Hive/HDFS/HQL
• Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.)
• Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage.
• Consistently demonstrates clear and concise written and verbal communication
• A history of delivering against agreed objectives
• Ability to multi-task and work under pressure
• Demonstrated problem solving and decision-making skills
• Excellent analytical and process-based skills, i.e. process flow diagrams, business modelling,
Scala Spark Developer employer: Ubique Systems
Contact Detail:
Ubique Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scala Spark Developer
✨Tip Number 1
Get your hands dirty with coding! Brush up on your Scala skills and practice coding challenges related to Spark. This will not only boost your confidence but also prepare you for that coding test in the interview.
✨Tip Number 2
Network like a pro! Connect with other Scala Spark developers on LinkedIn or join relevant forums. You never know when a referral might pop up, and it’s a great way to learn about job openings before they hit the market.
✨Tip Number 3
Prepare for those tricky interview questions! Think about how you can demonstrate your problem-solving skills and experience with Big Data technologies. Practise explaining your past projects clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Scala Spark developers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Scala Spark Developer
Some tips for your application 🫡
Show Off Your Scala Skills: Make sure to highlight your experience with Scala in your application. We want to see your hands-on coding experience, so don’t hold back on showcasing any projects or tasks where you’ve used Scala effectively.
Get Technical with Spark: Since Spark is a must-have, include specific examples of how you've worked with it. Whether it's Spark Streaming or any other aspect, we love seeing real-world applications of your skills!
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward. Use bullet points for your skills and experiences to make it easy for us to see what you bring to the table.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Ubique Systems
✨Master Your Scala Skills
Make sure you brush up on your Scala coding skills before the interview. Since the role specifically requires Scala, practice coding challenges and review key concepts to ensure you're ready for any technical questions or coding tests that may come your way.
✨Get Familiar with Spark and Hive
Since Spark and Hive are crucial for this position, take some time to understand their functionalities and how they interact within the Hadoop ecosystem. Be prepared to discuss your past experiences using these technologies and how you've solved problems with them.
✨Prepare for Real-Time Data Processing Questions
Given that experience in real-time data processing is a plus, think about any relevant projects you've worked on. Be ready to explain your approach to handling streaming data and any challenges you faced, as well as how you overcame them.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to demonstrate your analytical and decision-making abilities. Use examples from your previous work to illustrate how you've tackled complex problems, especially in high-pressure situations, and how you achieved successful outcomes.
