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For Companies At a Glance
- Tasks: Build and maintain scalable data systems for financial analysis using Hadoop and Spark.
- Company: Capgemini is a global leader in business and technology transformation, with a diverse team of 350,000.
- Benefits: Enjoy a collaborative work environment, opportunities for growth, and a focus on sustainability.
- Why this job: Join a company that empowers you to shape your career and make a positive impact on society.
- Qualifications: Expertise in Hadoop, Spark, Scala, and experience with ETL workflows and distributed computing.
- Other info: Be part of a trusted organisation with over 55 years of heritage and €22.5 billion in global revenues.
The predicted salary is between 28800 - 42000 £ per year.
GET THE FUTURE YOU WANT!Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.YOUR ROLECapgemini is looking for Hadoop Data Engineer.A Hadoop Data Engineer in the Financial Services (FS) sector is needed. This role focuses on building and maintaining scalable data systems for financial data analysis and reporting, often involving expertise in Hadoop, Spark, and related technologiesYOUR PROFILEExpertise on Hadoop, Spark & ScalaExperience in developing complex data transformation workflows(ETL) using Big Data TechnologiesGood expertise on HIVE, Impala, HBaseHands on experience to finetune Spark jobsExperience with Java and distributed computingABOUT CAPGEMINICapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.Get the future you want | www.capgemini.com
Hadoop Data Engineer employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hadoop Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in Hadoop and Spark. Attend webinars or workshops to deepen your understanding, as this will not only enhance your skills but also show your commitment to staying current in the field.
✨Tip Number 2
Network with professionals already working in the financial services sector. Join relevant online forums or LinkedIn groups where you can engage in discussions about data engineering challenges and solutions, which can provide valuable insights and connections.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges related to ETL processes and data transformation workflows. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills specifically in Big Data contexts.
✨Tip Number 4
Research Capgemini’s projects and values to align your personal goals with their mission. Being able to articulate how your experience and aspirations fit within their framework can make a strong impression during interviews.
We think you need these skills to ace Hadoop Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Hadoop, Spark, and Scala. Include specific examples of your experience with ETL processes and any relevant projects you've worked on in the financial services sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Capgemini's mission. Mention how your skills align with their needs, particularly in building scalable data systems.
Showcase Relevant Projects: If you have worked on projects involving HIVE, Impala, or HBase, be sure to include these in your application. Describe your role and the impact of your contributions to demonstrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly to present yourself as a detail-oriented candidate.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Hadoop, Spark, and Scala during the interview. Be prepared to discuss specific projects where you've developed complex data transformation workflows using these technologies.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach optimising Spark jobs or handling large datasets, and be ready to explain your thought process.
✨Demonstrate Your Understanding of Financial Data
Since this role is within the Financial Services sector, it’s crucial to show your understanding of financial data analysis and reporting. Familiarise yourself with common challenges in this area and be ready to discuss how you can address them.
✨Ask Insightful Questions
Prepare thoughtful questions about Capgemini's approach to data engineering and their use of Big Data technologies. This shows your genuine interest in the role and helps you understand if the company aligns with your career goals.
