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- Tasks: Lead big data projects, manage multiple workstreams, and oversee migration to Open Source.
- Company: Join a dynamic team in the financial sector focused on innovative data solutions.
- Benefits: Enjoy flexible work with just one day in the office per week and negotiable rates.
- Why this job: Be at the forefront of data transformation and make a real impact in the industry.
- Qualifications: Experience in big data management and familiarity with Cloudera, VAST, and Kubernetes is essential.
- Other info: This is a 6-month contract with potential for extension in a 2-year programme.
The predicted salary is between 48000 - 72000 £ per year.
Big Data Programme Lead required for a 6-month initial contract (2-year programme).
Experience in the financial sector highly desirable
1 day in office per week
Inside IR35 (Rate negotiable)
- Manage oversight across multiple workstreams (there are 4 ongoing)#
- Migration from Cloudera to Open Source: Manage the transition to ensure adoption.
- VAST Integration: – make data usable on VAST.
- Oversee deployment, request, entitlement processes, and integration with Hadoop.
- Manage the purchase and implementation of additional VAST units.
- Kubernetes focus on computer modernisation and deployment management.
Big Data Consultant employer: Cititec Talent
Contact Detail:
Cititec Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Consultant
✨Tip Number 1
Make sure to highlight your experience in the financial sector during networking events or conversations. This can help you stand out, as it's highly desirable for this role.
✨Tip Number 2
Familiarize yourself with the migration processes from Cloudera to Open Source. Being able to discuss specific strategies or challenges you've faced in similar transitions will demonstrate your expertise.
✨Tip Number 3
Showcase your knowledge of VAST and Hadoop integration. If you have hands-on experience, be ready to share examples of how you've made data usable in past projects.
✨Tip Number 4
Stay updated on Kubernetes trends and best practices. Being able to discuss modern deployment management techniques will position you as a strong candidate for this role.
We think you need these skills to ace Big Data Consultant
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in the financial sector and any previous roles related to big data management. Tailor your CV to showcase specific projects or achievements that align with the job requirements.
Detail Technical Skills: Clearly outline your technical skills, especially those related to Cloudera, Open Source technologies, VAST integration, and Kubernetes. Use specific examples to demonstrate your proficiency and how you've applied these skills in past roles.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are the perfect fit for the Big Data Consultant role. Discuss your understanding of the migration process and your approach to managing multiple workstreams effectively.
Review and Edit: Before submitting your application, thoroughly review your documents for any errors or inconsistencies. Ensure that your application is clear, concise, and free of jargon that may not be understood by all reviewers.
How to prepare for a job interview at Cititec Talent
✨Showcase Your Financial Sector Experience
Since experience in the financial sector is highly desirable, be prepared to discuss your relevant background. Highlight specific projects or roles where you managed data solutions or migrations within financial institutions.
✨Demonstrate Your Technical Knowledge
Familiarize yourself with Cloudera and Open Source migration processes. Be ready to explain how you would manage the transition and ensure adoption, as well as your understanding of VAST integration and Hadoop.
✨Discuss Your Project Management Skills
As the role involves managing oversight across multiple workstreams, prepare examples of how you've successfully led similar projects. Emphasize your ability to coordinate teams and manage timelines effectively.
✨Prepare for Kubernetes Questions
Given the focus on computer modernization and deployment management with Kubernetes, brush up on your knowledge of container orchestration. Be ready to discuss how you've utilized Kubernetes in past projects and its benefits for deployment management.
