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For Companies At a Glance
- Tasks: Design and implement data solutions for financial services using cutting-edge technologies.
- Company: Join a rapidly growing company focused on digital transformation.
- Benefits: Enjoy remote work flexibility and competitive compensation.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Make an impact in the financial sector with your data engineering skills.
- Qualifications: 7+ years in application development and cloud platforms required.
The predicted salary is between 80000 - 100000 £ per year.
Overview
Job role: Data Engineer
Years of Experience: 7+
Location: Anywhere in USA
Work Type: Remote
At RemoteStar, we are hiring for one of our clients, a rapidly growing company focused on digital transformation in the financial services space.
Qualifications
- 7+ years of experience in application development (Python, SQL, Scala, or Java)
- 4+ years working with public cloud platforms (AWS, Azure, or Google Cloud)
- 4+ years with distributed data/computing tools like Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL
- 4+ years working on real-time data and streaming applications
- 4+ years implementing NoSQL databases (MongoDB, Cassandra)
- 4+ years in data warehousing (Redshift or Snowflake)
- 4+ years of experience with UNIX/Linux and shell scripting
- 2+ years of experience with Agile engineering practices
Data Engineer (Remote) USA in England employer: RemoteStar
Contact Detail:
RemoteStar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Remote) USA in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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 experience with tools like Spark and NoSQL databases.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can give you a better chance of landing that dream job.
We think you need these skills to ace Data Engineer (Remote) USA in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud platforms. We want to see how your skills match the job description, so don’t be shy about showcasing your 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 aligns with our client's focus on digital transformation in financial services.
Showcase Your Technical Skills: When listing your technical skills, be specific! Mention the tools and technologies you've used, like Spark or MongoDB, and give examples of how you've applied them in real-time data applications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at RemoteStar
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your Python, SQL, and any cloud platforms like AWS or Azure. Be ready to discuss specific projects where you’ve used these tools, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to real-time data and streaming applications. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to follow your thought process.
✨Familiarise Yourself with Distributed Systems
Since the role involves working with distributed data/computing tools, be ready to explain how you’ve implemented solutions using Spark, Hadoop, or similar technologies. Discuss any relevant experiences that highlight your understanding of these systems and their impact on data processing.
✨Emphasise Agile Experience
With Agile engineering practices being a requirement, think of examples where you’ve worked in Agile teams. Talk about how you contributed to sprints, collaborated with team members, and adapted to changes quickly. This will demonstrate your ability to thrive in a dynamic work environment.