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For Companies At a Glance
- Tasks: Design and implement big data solutions using Spark, Scala, and Hive.
- Company: Join HCLTech, a global leader in technology with over 219,000 employees worldwide.
- Benefits: Enjoy competitive pay, remote work options, and a vibrant corporate culture.
- Why this job: Be part of innovative projects that impact various industries and enhance your tech skills.
- Qualifications: Experience with Spark, Scala, Hive, and a solid understanding of the Hadoop ecosystem required.
- Other info: Ideal for problem solvers who thrive under pressure and enjoy multi-tasking.
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
Scala/Spark:
- 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 focusing on Spark and Scala. Join online forums or communities where professionals discuss these topics to gain insights and make connections.
✨Tip Number 2
Consider working on personal or open-source projects that utilise Spark and Scala. This hands-on experience will not only enhance your skills but also provide you with concrete examples to discuss during interviews.
✨Tip Number 3
Network with current Big Data professionals through LinkedIn or industry meetups. Engaging with others in the field can lead to valuable referrals and insider information about job openings at companies like HCLTech.
✨Tip Number 4
Prepare for technical interviews by practising common Big Data scenarios and problem-solving questions. Use platforms like LeetCode or HackerRank to sharpen your coding skills in Scala and SQL, which are crucial for this role.
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 your relevant experience in big data technologies and your proficiency in Spark and Scala. Use specific examples of projects or tasks where you've successfully applied these skills.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your problem-solving abilities and experience in delivering against objectives. Mention your familiarity with the Linux-based Hadoop ecosystem and any real-time data processing experience.
Proofread Your Application: Before submitting your application, thoroughly proofread your CV and cover letter. Check for any grammatical errors or typos, and ensure that your communication is clear and concise, reflecting the skills mentioned in the job description.
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 utilised 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 in real-time data processing.
✨Communicate Clearly
Since clear communication is key, practice explaining complex technical concepts in simple terms. This will not only demonstrate your understanding but also show your ability to convey information effectively to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your analytical and process-based skills. Be ready to discuss how you would approach specific problems or design solutions using process flow diagrams or business modelling techniques.
