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- Tasks: Join our team as a Big Data Developer and work with Cloudera and Spark Scala.
- Company: Be part of a cutting-edge tech company focused on big data solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning.
- Why this job: This role offers hands-on experience in real-time data processing and problem-solving.
- Qualifications: Must have experience in big data technologies and strong communication skills.
- Other info: Ideal for those who thrive under pressure and love tackling complex challenges.
The predicted salary is between 36000 - 60000 £ per year.
Good Big Data resource with the below Skillset:
- Cloudera – Must Have
- Spark Scala – Must Have
Required skills:
- 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, and functional design.
Big Data Developer employer: ALOIS Solutions
Contact Detail:
ALOIS Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Developer
✨Tip Number 1
Make sure to showcase your experience with Cloudera and Spark Scala in your conversations. Be ready to discuss specific projects where you utilized these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Prepare to talk about your experience with real-time data processing, especially using Spark Streaming. Highlight any challenges you faced and how you overcame them to show your problem-solving skills.
✨Tip Number 3
Since communication is key, practice explaining complex technical concepts in simple terms. This will help you demonstrate your ability to communicate clearly and concisely during interviews.
✨Tip Number 4
Be ready to discuss how you manage multiple tasks under pressure. Share examples of past experiences where you successfully juggled competing priorities while still delivering results.
We think you need these skills to ace Big Data Developer
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your experience with Cloudera and Spark Scala in your application. Clearly outline any projects or roles where you utilized these technologies.
Showcase Problem-Solving Abilities: Include specific examples of how you've tackled challenges in previous roles, especially related to Big Data technologies and real-time data processing.
Demonstrate Communication Skills: Since clear communication is key, consider including a brief section on how you've effectively communicated complex technical concepts to non-technical stakeholders.
Tailor Your CV: Customize your CV to reflect the job description closely. Use keywords from the job listing to ensure your application stands out to recruiters.
How to prepare for a job interview at ALOIS Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Cloudera and Spark Scala in detail. Highlight specific projects where you utilized these technologies, and be ready to answer technical questions that demonstrate your expertise.
✨Demonstrate Real-Time Data Processing Knowledge
Since real-time data processing is a key aspect of the role, share examples of how you've implemented Spark Streaming in past projects. Discuss any challenges you faced and how you overcame them.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Since strong communication skills are essential, consider preparing a brief overview of your previous work experiences and how they relate to the job you're applying for.
✨Problem-Solving Scenarios
Prepare to discuss specific instances where you've demonstrated problem-solving and decision-making skills. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
