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- Tasks: Design and build Big Data platforms using Apache Hadoop, supporting applications in cloud and on-premises.
- Company: HCLTech is a global tech leader with over 219,000 employees, delivering innovative solutions across various industries.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and collaboration on open-source projects.
- Why this job: Join a team of experts, contribute to impactful open-source projects, and enhance your skills in a hybrid cloud setting.
- Qualifications: Experience in platform engineering, application engineering, and a strong understanding of the Apache ecosystem required.
- Other info: Ideal for passionate developers eager to make a difference in the Big Data landscape.
The predicted salary is between 43200 - 72000 £ per year.
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion.
Location - London
Skill - Apache Hadoop
We are looking for open-source contributors to Apache projects, who have an in-depth understanding of the code behind the Apache ecosystem, should have experience in Cloudera or similar distribution and should possess in depth knowledge of big data tech stack.
Requirement:
- Experience of platform engineering along with application engineering (hands-on)
- Experience in design of an open source platform based on Apache framework for Hadoop.
- Experience in integrating Infra-as-a-Code in their platform (Bespoke implementation from scratch)
- Experience of design & architect work for the open source Apache platform in hybrid cloud environment
- Ability to debug & fix code in the open source Apache code and should be an individual contributor to open source projects.
Job description:
The Apache Hadoop project requires up to 3 individuals with experience in designing and building platforms, and supporting applications both in cloud environments and on-premises. These resources are expected to be open source contributors to Apache projects, have an in-depth understanding of the code behind the Apache ecosystem, and be capable of identifying and fixing complex issues during delivery. 3 individuals required to support all developers in migrating and debugging various RiskFinder critical applications. They need to be "Developers" who are expert in designing and building Big Data platforms using Apache Hadoop and support Apache Hadoop implementations both in cloud environments and on-premises.
Contact Detail:
JobFlurry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Architect (Open source contributor)
✨Tip Number 1
Engage with the Apache community by contributing to forums and discussions. This will not only showcase your expertise but also help you network with other professionals in the field, which can lead to job opportunities.
✨Tip Number 2
Showcase your hands-on experience with Cloudera or similar distributions by working on personal projects or contributing to open-source initiatives. This practical experience is invaluable and can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with Infra-as-a-Code practices and tools. Being able to demonstrate your ability to implement bespoke solutions from scratch will be a significant advantage during interviews.
✨Tip Number 4
Prepare to discuss specific challenges you've faced while debugging and fixing code in the Apache ecosystem. Real-world examples of your problem-solving skills will resonate well with hiring managers.
We think you need these skills to ace Big Data Architect (Open source contributor)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Apache Hadoop and any contributions to open-source projects. Emphasise your hands-on experience in platform engineering and application engineering, as well as your ability to debug and fix code.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about open-source contributions and how your skills align with the requirements of the role. Mention specific projects or experiences that demonstrate your expertise in the big data tech stack.
Showcase Relevant Projects: If you have worked on relevant projects, either professionally or as part of your open-source contributions, be sure to include these in your application. Detail your role, the technologies used, and the impact of your work.
Highlight Problem-Solving Skills: Since the role involves identifying and fixing complex issues, make sure to highlight your problem-solving skills. Provide examples of challenges you've faced in previous roles and how you successfully resolved them.
How to prepare for a job interview at JobFlurry
✨Showcase Your Open Source Contributions
Make sure to highlight your contributions to Apache projects during the interview. Discuss specific examples of your work, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and commitment to the open-source community.
✨Demonstrate Technical Expertise
Be prepared to discuss your in-depth knowledge of the Apache ecosystem, particularly Hadoop. Brush up on key concepts, recent updates, and best practices. You might be asked technical questions or even to solve problems on the spot, so confidence in your technical skills is crucial.
✨Understand the Company’s Needs
Research HCLTech and their projects related to Big Data and cloud environments. Understanding their specific needs and how your skills can contribute to their goals will help you tailor your responses and show that you're genuinely interested in the role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in real-world situations. Think about past experiences where you had to debug complex issues or design platforms from scratch, and be ready to explain your thought process and the outcomes.
