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- Tasks: Join a dynamic team to enhance big data solutions and ensure compliance.
- Company: Work with a global financial institution focused on innovative data strategies.
- Benefits: Enjoy a hybrid work model with potential for extension after 12 months.
- Why this job: Be part of cutting-edge analytics and make a real impact in the financial sector.
- Qualifications: 5+ years in big data tech, strong skills in Python/Scala, and a relevant degree required.
- Other info: Collaborate in a fast-paced environment and tackle exciting data challenges.
The predicted salary is between 43200 - 72000 £ per year.
We are currently working with a global financial institution to recruit a Big Data engineer to join their dynamic Data Strategy team, dedicated to meeting the evolving business, analytical, and regulatory needs of their clients. This role will integrate diverse data sources, enabling industry-leading analytics, client reporting, regulatory compliance, and data science solutions. It will also enhance data quality, accuracy, and performance, ensuring compliance with regulatory guidelines. Key Responsibilities: Onboard new users and clients to the organisations Big Data platform. Collaborate with cross-functional teams to identify and prioritize data requirements, data quality issues, and performance bottlenecks. Set up build pipelines to automate the build and deployment process. Conduct code reviews, detect suboptimal queries, and address performance issues. Guide teams to follow industry-standard best practices. Design and develop scalable and fault-tolerant big data solutions on the Cloudera platform. Monitor and optimize the risk data platform for performance, scalability, and cost-effectiveness. To be considered for this role you will be required to possess the following Skills and Qualifications: 5+ years of experience in big data technologies, with at least 3 years of experience in Apache Spark and Cloudera. Strong knowledge of big data technologies, including Hadoop, Hive, HBase, Kafka, and YARN. Excellent programming skills in Python and/or Scala. Strong analytical, problem-solving, and communication skills. Bachelor’s or master’s degree in computer science, Information Systems, or a related field. The ability to work independently and collaboratively in a fast-paced, agile environment. This role will be hybrid with 3 days working from the office in Belfast. Although the role is initially for a 12-month period there is a high possibility of extension. If you’re interested in this role, please forward an up-to-date copy of your CV or call me on . If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be Skills: Data development Apache Benefits: p/h
HAYS Specialist Recruitment | Big Data specialist employer: HAYS Specialist Recruitment
Contact Detail:
HAYS Specialist Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HAYS Specialist Recruitment | Big Data specialist
✨Tip Number 1
Familiarize yourself with the specific big data technologies mentioned in the job description, such as Apache Spark and Cloudera. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight any experience you have with cross-functional collaboration. This role emphasizes working with various teams, so demonstrating your ability to communicate and work effectively with others is crucial.
✨Tip Number 3
Prepare to discuss your problem-solving approach during the interview. Given the focus on optimizing performance and addressing data quality issues, showcasing your analytical skills and past experiences will be beneficial.
✨Tip Number 4
Since this position is hybrid, be ready to discuss your adaptability to different work environments. Share examples of how you've successfully worked both independently and as part of a team in fast-paced settings.
We think you need these skills to ace HAYS Specialist Recruitment | Big Data specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with big data technologies, especially Apache Spark and Cloudera. Include specific projects or achievements that demonstrate your skills in data integration, analytics, and compliance.
Craft a Strong Cover Letter: Write a cover letter that addresses the key responsibilities mentioned in the job description. Explain how your background aligns with the needs of the Data Strategy team and emphasize your problem-solving abilities and collaborative spirit.
Showcase Relevant Skills: In your application, clearly outline your programming skills in Python and/or Scala, as well as your knowledge of Hadoop, Hive, HBase, Kafka, and YARN. Use examples to illustrate how you've applied these skills in previous roles.
Highlight Your Education: Mention your bachelor's or master's degree in computer science, Information Systems, or a related field prominently in your application. This is crucial for meeting the qualifications for the role.
How to prepare for a job interview at HAYS Specialist Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with big data technologies, especially Apache Spark and Cloudera. Highlight specific projects where you've successfully integrated diverse data sources or improved data quality.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your analytical and problem-solving abilities. Prepare examples of how you've identified and resolved performance bottlenecks or data quality issues in previous roles.
✨Emphasize Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share experiences where you collaborated effectively. Discuss how you prioritized data requirements and communicated with different stakeholders.
✨Prepare for Code Review Scenarios
You may be asked to conduct a mock code review during the interview. Brush up on best practices for coding in Python or Scala, and be ready to identify suboptimal queries and suggest improvements.
