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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 that values innovation and collaboration.
- Benefits: Earn $60/hr, enjoy remote work, and access professional development opportunities.
- Why this job: Make an impact in AI initiatives while working with the latest tech.
- Qualifications: BSc in Computer Science or related field; experience with Hadoop, Spark, and Kafka.
- Other info: Fully remote role with a focus on teamwork and career growth.
The predicted salary is between 13 - 16 £ 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 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
✨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 explaining complex concepts clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data analysts like you. Let’s get you that remote job!
We think you need these skills to ace Data Analyst | $60/hr Remote
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 hold back!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving real-time data streaming with Kafka or cloud platforms, be sure to include them. We love seeing practical examples of your work!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our AI initiatives. Keep it engaging and personal – we want to get to know you!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 had to troubleshoot or optimise data pipelines, 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 demonstrate your ability to document workflows or create training materials, so consider how you would present this information to a non-technical audience.
✨Familiarise Yourself with Cloud Platforms
As the role involves deploying on cloud platforms, ensure you have a solid understanding of AWS, GCP, or Azure. Be prepared to discuss your experience with these platforms and how you've used them to support data engineering tasks.
