At a Glance
- Tasks: Join us as a Big Data Architect, designing and building platforms using Apache Hadoop.
- Company: HCLTech is a global tech leader with over 219,000 employees across 54 countries.
- Benefits: Enjoy remote work options and a vibrant corporate culture with diverse projects.
- Why this job: Be part of impactful open-source projects and enhance your skills in a collaborative environment.
- Qualifications: Experience in platform engineering and open-source contributions, especially with Apache Hadoop.
- Other info: Work permit required for non-passport holders; apply through the 'Apply now' button.
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.
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 possess in-depth knowledge of the big data tech stack.
Requirements:- Experience in platform engineering along with application engineering (hands-on).
- Experience in the design of an open-source platform based on the 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 a hybrid cloud environment.
- Ability to debug & fix code in the open-source Apache code and should be an individual contributor to open-source projects.
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 are required to support all developers in migrating and debugging various RiskFinder critical applications. They need to be developers who are experts in designing and building Big Data platforms using Apache Hadoop and support Apache Hadoop implementations both in cloud environments and on-premises.
Please note: If you are NOT a passport holder of the country for the vacancy, you might need a work permit. Bank or payment details should not be provided when applying for a job. Eurojobs.com is not responsible for any external website content. All applications should be made via the 'Apply now' button.
Big Data Architect (Open source contributor) employer: JR United Kingdom
Contact Detail:
JR United Kingdom 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 enhance your visibility but also demonstrate your commitment and expertise in open-source projects, which is crucial for this role.
✨Tip Number 2
Showcase your hands-on experience with Apache Hadoop by working on personal or collaborative projects. Having a portfolio of relevant work can significantly strengthen your candidacy and provide concrete examples of your skills.
✨Tip Number 3
Network with professionals in the big data field, especially those who are already working with HCLTech or similar companies. Attend meetups, webinars, or conferences to make connections that could lead to referrals.
✨Tip Number 4
Stay updated on the latest trends and technologies in big data and the Apache ecosystem. Being knowledgeable about recent developments can help you stand out during interviews and discussions with potential employers.
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 open-source contributions you've made. Use specific examples to demonstrate your skills in platform engineering and application engineering.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about open-source projects and how your background aligns with the requirements of the Big Data Architect role. Mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills: Include a section in your application that details your technical skills related to the big data tech stack, particularly focusing on your experience with Cloudera or similar distributions. Highlight your ability to debug and fix code within the Apache ecosystem.
Follow Application Instructions: Ensure you follow all application instructions provided by HCLTech. This includes submitting your application through the 'Apply now' button on our website and not providing any sensitive information like bank details.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Open Source Contributions
Make sure to highlight your contributions to open-source projects, especially those related to Apache. Discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Demonstrate Technical Expertise
Be prepared to discuss your in-depth knowledge of the Apache ecosystem and the big data tech stack. Brush up on key concepts and be ready to answer technical questions or even solve problems on the spot.
✨Discuss Hybrid Cloud Experience
Since the role involves working in hybrid cloud environments, share your experiences with cloud platforms and how you've integrated Infra-as-a-Code in your previous projects. Real-world examples will make your case stronger.
✨Prepare for Problem-Solving Scenarios
Expect to face scenarios where you'll need to debug and fix code. Practice explaining your thought process while solving complex issues, as this will demonstrate your analytical skills and ability to work under pressure.