At a Glance
- Tasks: Develop scalable applications using Big Data technologies and Core Java.
- Company: Join a leading tech company focused on innovative data solutions.
- Benefits: Enjoy competitive salary, flexible working hours, and opportunities for growth.
- Why this job: Be part of a dynamic team solving real-world problems with cutting-edge technology.
- Qualifications: 6+ years in software development, strong Java skills, and experience with Big Data tools.
- Other info: Confidentiality assured as per EEO guidelines.
The predicted salary is between 43200 - 72000 £ per year.
Minimum Qualifications:
- 6+ years of software development experience in Core Java.
- Experience in Java threading and concurrency.
- Very strong problem-solving skills and algorithm knowledge.
- Working experience in data extraction/parsing and NLP.
- Experience in developing scalable distributed applications using Big Data technologies like Hadoop, Storm, Spark, etc.
Additional Information: All your information will be kept confidential according to EEO guidelines.
Big Data Developer with Core Java employer: Active Soft Inc.
Contact Detail:
Active Soft Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Developer with Core Java
✨Tip Number 1
Make sure to brush up on your Core Java skills, especially focusing on threading and concurrency. Being able to demonstrate your expertise in these areas during interviews can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with Big Data technologies like Hadoop, Storm, and Spark. Consider working on a personal project or contributing to open-source projects that utilise these technologies to showcase your practical experience.
✨Tip Number 3
Prepare for technical interviews by practising problem-solving questions and algorithms. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with coding challenges.
✨Tip Number 4
Network with professionals in the Big Data field through platforms like LinkedIn. Engaging with industry groups or attending meetups can provide valuable insights and potentially lead to referrals for job openings.
We think you need these skills to ace Big Data Developer with Core Java
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 6+ years of software development experience in Core Java. Emphasise your skills in Java threading, concurrency, and any relevant Big Data technologies like Hadoop, Storm, or Spark.
Showcase Problem-Solving Skills: In your application, provide specific examples of how you've tackled complex problems using algorithms. This could be through projects or challenges you've faced in previous roles.
Highlight Relevant Experience: Detail your experience with data extraction, parsing, and NLP. Mention any projects where you developed scalable distributed applications, as this is crucial for the role.
Craft a Strong Cover Letter: Write a cover letter that connects your experience directly to the job requirements. Explain why you're passionate about Big Data and how your background makes you a perfect fit for the position.
How to prepare for a job interview at Active Soft Inc.
✨Showcase Your Java Expertise
Make sure to highlight your experience with Core Java, especially in threading and concurrency. Be prepared to discuss specific projects where you applied these skills, as this will demonstrate your depth of knowledge.
✨Demonstrate Problem-Solving Skills
Expect to face technical questions that assess your problem-solving abilities. Practice common algorithm challenges and be ready to explain your thought process clearly, as this will showcase your analytical skills.
✨Familiarise Yourself with Big Data Technologies
Brush up on your knowledge of Hadoop, Storm, and Spark. Be ready to discuss how you've used these technologies in past projects, focusing on scalability and distributed applications, as this is crucial for the role.
✨Prepare for Data Extraction and NLP Questions
Since the job involves data extraction and natural language processing, review relevant techniques and tools. Be prepared to discuss any experience you have in these areas, as it will set you apart from other candidates.