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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 with big data technologies.
- Other info: Fast-paced environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
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:
=============
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 coding skills sharp! Since the interview includes a coding test, practice Scala and Spark coding challenges. Use platforms like LeetCode or HackerRank to get comfortable with the types of problems you might face.
✨Tip Number 2
Brush up on your Big Data knowledge! Make sure you're familiar with Hive, HDFS, and the Linux-based Hadoop ecosystem. We recommend going through some online courses or tutorials to solidify your understanding.
✨Tip Number 3
Prepare for those behavioural questions! They’ll want to know how you handle pressure and multi-tasking. Think of examples from your past experiences where you’ve demonstrated problem-solving and decision-making skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Scala Spark Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Scala and Spark experience. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on coding with Hive and SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Big Data and how your previous experiences make you a perfect fit for this role. We love seeing enthusiasm!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled challenges in a Big Data environment. We appreciate candidates who can demonstrate their analytical and decision-making skills through real-life scenarios.
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 see what you bring to the table!
How to prepare for a job interview at Ubique Systems
✨Master the Basics of Scala and Spark
Make sure you brush up on your Scala coding skills, as this is a must-have for the role. Familiarise yourself with Spark's core concepts and functionalities, especially if you haven't worked with them recently. Practising coding problems in Scala will help you feel more confident during the coding test.
✨Get Hands-On with Hive and SQL
Since Hive and SQL are essential for this position, spend some time working on real-world scenarios involving data manipulation and querying. Create sample datasets and practice writing complex queries to ensure you're comfortable with the syntax and logic required for the interview.
✨Understand the Hadoop Ecosystem
Dive into the Linux-based Hadoop ecosystem, including HDFS, Impala, and HBase. Knowing how these components interact will give you an edge. Consider setting up a mini-cluster or using cloud services to get practical experience with these technologies.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Brush up on algorithms and data structures, and be ready to explain your thought process clearly. Practising with mock interviews can help you articulate your solutions effectively under pressure.
