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- Tasks: Join us as a Big Data Architect, working with Spark, Scala, and Hive to drive data solutions.
- Company: HCLTech is a global tech leader with over 219,000 employees, delivering innovative digital and cloud services.
- Benefits: Enjoy competitive pay, remote work options, and a vibrant corporate culture that values innovation.
- Why this job: Be part of a dynamic team shaping the future of technology across various industries.
- Qualifications: Must have experience in Spark, Scala, Hive, and a solid understanding of the Hadoop ecosystem.
- Other info: Ideal for problem solvers who thrive under pressure and are passionate about big data.
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.
Job Description:
- Spark - Must have
- Scala - Must Have
- Hive/SQL - Must Have
Good Big Data resource with the below Skillset:
- Spark
- Scala
- Hive/HDFS/HQL
Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.)
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 Architect employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Architect
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in Big Data, especially around Spark and Scala. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals already working in Big Data roles, particularly those who are familiar with HCLTech. Engaging in conversations can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss real-world applications of your skills in Spark and Scala. Think of specific projects or challenges you've tackled that demonstrate your problem-solving abilities and technical expertise.
✨Tip Number 4
Practice articulating your experience with Linux-based Hadoop ecosystems. Being able to clearly explain your familiarity with tools like Hive and HDFS will set you apart from other candidates.
We think you need these skills to ace Big Data Architect
Some tips for your application 🫡
Understand the Job Requirements: Carefully read the job description for the Big Data Architect position at HCLTech. Make sure you understand the key skills required, such as Spark, Scala, and Hive/SQL, and think about how your experience aligns with these requirements.
Tailor Your CV: Customise your CV to highlight relevant experience in big data technologies and your proficiency in Spark and Scala. Use specific examples from your past work that demonstrate your problem-solving skills and ability to work under pressure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for big data and your understanding of HCLTech's industry solutions. Mention your experience with real-time data processing and how it can benefit their projects.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for any spelling or grammatical errors, and ensure that your communication is clear and concise, reflecting the strong written skills that HCLTech values.
How to prepare for a job interview at HCLTech
✨Showcase Your Technical Skills
Make sure to highlight your experience with Spark, Scala, and Hive during the interview. Be prepared to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your problem-solving skills, especially in a Big Data context. Think of scenarios where you had to make quick decisions or troubleshoot issues, and be ready to explain your thought process.
✨Communicate Clearly
Since clear communication is key, practice explaining complex technical concepts in simple terms. This will not only help you connect with your interviewers but also demonstrate your ability to convey information effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to work under pressure and multi-task. Think about past experiences where you successfully managed multiple priorities and be ready to share those stories.
