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- Tasks: Design and build Big Data platforms using Apache Hadoop, supporting applications in cloud and on-premises.
- Company: Join HCLTech, a global tech leader with over 219,000 employees across 54 countries.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and collaboration on open-source projects.
- Why this job: Be part of innovative projects that impact various industries while contributing to the open-source community.
- Qualifications: Experience in platform engineering, application engineering, and deep knowledge of the Apache ecosystem required.
- Other info: Ideal for passionate developers eager to tackle complex challenges in a hybrid cloud environment.
The predicted salary is between 48000 - 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 the big data tech stack.
- 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
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.
Big Data Architect (Open source contributor) employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Architect (Open source contributor)
✨Tip Number 1
Familiarise yourself with the latest developments in the Apache Hadoop ecosystem. Join relevant forums and communities where you can engage with other contributors and showcase your expertise. This will not only enhance your knowledge but also help you network with potential colleagues at HCLTech.
✨Tip Number 2
Contribute to open-source projects related to Apache Hadoop. By actively participating in these projects, you can demonstrate your skills and commitment to the community, which is highly valued by employers like us at StudySmarter.
✨Tip Number 3
Prepare to discuss your hands-on experience with platform engineering and application engineering during interviews. Be ready to share specific examples of how you've designed and built platforms using the Apache framework, as this will set you apart from other candidates.
✨Tip Number 4
Stay updated on the latest trends in hybrid cloud environments and Infra-as-a-Code practices. Being knowledgeable about these topics will not only boost your confidence but also show that you're proactive and well-prepared for the challenges of the role.
We think you need these skills to ace Big Data Architect (Open source contributor)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the requirements of the Big Data Architect position. Familiarise yourself with Apache Hadoop and the specific skills mentioned in the job description.
Tailor Your CV: Highlight your experience with open-source contributions, particularly with Apache projects. Make sure to include relevant technical skills, such as platform engineering and Infra-as-a-Code integration, that align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for open-source development and your expertise in the Apache ecosystem. Use specific examples from your past work to demonstrate your ability to design and build Big Data platforms.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial for a technical role.
How to prepare for a job interview at HCLTech
✨Showcase Your Open Source Contributions
Make sure to highlight any contributions you've made to Apache projects or similar open-source initiatives. Discuss specific examples of your work, the challenges you faced, and how you overcame them.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with the big data tech stack, particularly Apache Hadoop. Brush up on key concepts and be ready to explain how you've applied them in real-world scenarios.
✨Understand the Company’s Needs
Research HCLTech and understand their focus areas, especially in relation to big data and cloud environments. Tailor your responses to show how your skills align with their projects and goals.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your debugging and problem-solving skills. Practice explaining your thought process clearly, as this will demonstrate your ability to tackle complex issues effectively.
