Big Data Administrator (Hadoop)

Big Data Administrator (Hadoop)

London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a dynamic team to enhance Big Data systems and collaborate on exciting projects.
  • Company: Be part of a global organisation leading innovative technology solutions.
  • Benefits: Enjoy a hybrid working model with flexibility and opportunities for growth.
  • Why this job: Contribute to impactful projects while working with cutting-edge technologies in a collaborative environment.
  • Qualifications: Experience with Hadoop, Spark, and other Big Data technologies is essential.
  • Other info: This role offers a chance to work on one of the organisation's biggest projects.

The predicted salary is between 36000 - 60000 £ per year.

Alexander Ash is currently working with a global organisation that is looking for a Hadoop Admin to join their multi-disciplinary team. This is an exciting opportunity for a Hadoop Admin who is dedicated and seeks to identify improvements and efficiencies, while utilizing new technologies and existing tools as the organisation takes on one of its biggest projects. Responsibilities Collaborate with Product Managers, user experience designers, and functional analysts to understand new systems, user-facing desktop, and mobile features. Build the required features as a member of an agile feature team. Help maintain code quality via code reviews. Skill Requirements Proficiency in administrating Big Data technologies (Hadoop, HDFS, Spark, Hive, Yarn, Oozie, Kafka, HBase, Apache stack). Proficiency in defining highly scalable platform architecture. Knowledge of architectural design patterns, highly optimized, low latency, and massively scalable platforms. Hybrid working model – 2 days in office. #J-18808-Ljbffr

Big Data Administrator (Hadoop) employer: Association of Collegiate Conference and Events Directors-International

At Alexander Ash, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge projects in a hybrid working model, allowing for a balanced work-life experience. Join us in our global organisation where your contributions as a Big Data Administrator will be valued and rewarded, making a meaningful impact in the tech landscape.
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Contact Detail:

Association of Collegiate Conference and Events Directors-International Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Big Data Administrator (Hadoop)

✨Tip Number 1

Familiarise yourself with the specific Big Data technologies mentioned in the job description, such as Hadoop, Spark, and Kafka. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.

✨Tip Number 2

Showcase your understanding of agile methodologies, as this role involves working within an agile feature team. Be prepared to discuss how you've successfully collaborated in similar environments in the past.

✨Tip Number 3

Research the company’s current projects and challenges related to Big Data. This will not only help you tailor your discussions but also demonstrate your genuine interest in contributing to their goals.

✨Tip Number 4

Network with current or former employees of the organisation on platforms like LinkedIn. They can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.

We think you need these skills to ace Big Data Administrator (Hadoop)

Hadoop Administration
HDFS Management
Apache Spark
Hive Query Language
Yarn Resource Management
Oozie Workflow Scheduling
Kafka Messaging System
HBase Database Management
Apache Stack Proficiency
Scalable Platform Architecture
Architectural Design Patterns
Low Latency Systems
Massively Scalable Platforms
Agile Methodologies
Code Review Practices
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Big Data technologies, especially Hadoop and its ecosystem. Use specific examples of projects where you've implemented these technologies to demonstrate your proficiency.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the responsibilities outlined in the job description, particularly your ability to collaborate with cross-functional teams and maintain code quality.

Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will help illustrate your hands-on experience with the required tools and platforms.

Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a Big Data Administrator.

How to prepare for a job interview at Association of Collegiate Conference and Events Directors-International

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Hadoop and other Big Data technologies in detail. Highlight specific projects where you've successfully implemented these tools, and be ready to answer technical questions that demonstrate your proficiency.

✨Understand the Agile Methodology

Since the role involves working within an agile feature team, make sure you understand agile principles. Be ready to discuss how you've collaborated with cross-functional teams in the past and how you adapt to changing requirements.

✨Demonstrate Problem-Solving Abilities

The organisation is looking for someone who can identify improvements and efficiencies. Prepare examples of challenges you've faced in previous roles and how you approached solving them, particularly in relation to Big Data administration.

✨Ask Insightful Questions

At the end of the interview, take the opportunity to ask questions that show your interest in the company and the project. Inquire about the specific technologies they are using, their approach to scalability, or how they measure success in their projects.

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