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For Companies At a Glance
- Tasks: Design and optimise data pipelines using cutting-edge big data technologies.
- Company: Join a forward-thinking company focused on AI and data innovation.
- Benefits: Earn $60/hr, enjoy remote work, and access professional development opportunities.
- Why this job: Make an impact in AI by working with real-time data and advanced technologies.
- Qualifications: BSc in Computer Science or related field; experience with Hadoop, Spark, and Kafka.
- Other info: Collaborative remote environment with strong growth potential.
The predicted salary is between 40 - 48 £ per hour.
Responsibilities
- Design, develop, and optimize large scale data pipelines using Hadoop, Spark, and related big data technologies.
- Build and maintain scalable data architectures that support AI model training and analytics workloads.
- Integrate and manage real time data streams using Kafka, ensuring data reliability and quality.
- Deploy, orchestrate, and monitor distributed data processing systems on cloud platforms.
- Collaborate closely with data scientists and machine learning engineers to enable AI and LLM initiatives.
- Document complex data workflows and create clear training materials for technical teams.
- Enforce best practices across data engineering, including performance optimization, security, and scalability.
- Support AI and generative AI use cases through high quality data curation and pipeline design.
Requirements
- BSc in Computer Science, Data Engineering, or a closely related field.
- Strong hands on experience with big data technologies including Hadoop and Spark.
- Proven expertise using Kafka for real time data streaming and integration.
- Solid background in data engineering with experience building and scaling ETL pipelines.
- Practical experience working with major cloud platforms such as AWS, GCP, or Azure.
- Proficiency in programming or scripting languages such as Python, Scala, or Java.
- Excellent written and verbal communication skills with the ability to explain complex technical concepts.
- Strong problem solving and troubleshooting skills in distributed systems.
- Ability to work independently in a fully remote, collaborative environment.
Data Analyst | $60/hr Remote in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst | $60/hr Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Hadoop, Spark, and Kafka. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss your past experiences.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data analysts like you. It’s a great way to get noticed!
We think you need these skills to ace Data Analyst | $60/hr Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with big data technologies like Hadoop and Spark. We want to see how your skills align with the responsibilities listed in the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, make sure to mention your hands-on experience with tools like Kafka and cloud platforms. We’re looking for candidates who can hit the ground running, so highlight any relevant projects or achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Tech Stack
Make sure you’re well-versed in the big data technologies mentioned in the job description, like Hadoop, Spark, and Kafka. Brush up on your practical experience with these tools, as you might be asked to discuss specific projects or challenges you've faced while using them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex issues in distributed systems. Think of a few scenarios where you optimised performance or ensured data reliability, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining technical concepts in simple terms. You might need to describe your past work to non-technical team members, so being able to break down complex ideas is key.
✨Familiarise Yourself with Cloud Platforms
As the role involves deploying on cloud platforms, make sure you understand the basics of AWS, GCP, or Azure. Be prepared to discuss any relevant experience you have and how you’ve used these platforms to support data engineering tasks.
