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For Companies At a Glance
- Tasks: As a Data Engineer, you'll develop and manage data applications and real-time streaming solutions.
- Company: Join RemoteStar, a dynamic company driving digital transformation in financial services.
- Benefits: Enjoy the flexibility of remote work and a collaborative team environment.
- Why this job: This role offers impactful projects, a vibrant culture, and opportunities for professional growth.
- Qualifications: You need 7+ years in application development and expertise in cloud platforms and data tools.
- Other info: Work from anywhere in the USA and be part of an innovative team.
The predicted salary is between 48000 - 72000 £ 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.
Key Requirements
- 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
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Data Engineer (Remote) USA employer: RemoteStar
Contact Detail:
RemoteStar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Remote) USA
✨Tip Number 1
Make sure to showcase your experience with the specific technologies mentioned in the job description. Highlight your proficiency in Python, SQL, and any cloud platforms you've worked with, as this will demonstrate your fit for the role.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with financial services. Engaging with industry peers can provide insights and potentially lead to referrals that could strengthen your application.
✨Tip Number 3
Prepare to discuss your experience with real-time data and streaming applications during interviews. Be ready to share specific examples of projects where you implemented these technologies, as practical experience is highly valued.
✨Tip Number 4
Familiarise yourself with Agile engineering practices if you haven't already. Understanding Agile methodologies can give you an edge, as many companies value candidates who can adapt to their development processes.
We think you need these skills to ace Data Engineer (Remote) USA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the specific technologies mentioned in the job description, such as Python, SQL, and cloud platforms. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also explains why you are passionate about data engineering and how your skills align with the company's focus on digital transformation in financial services.
Showcase Relevant Projects: Include examples of projects where you've used distributed data tools or worked with real-time data applications. This will demonstrate your hands-on experience and problem-solving abilities in relevant scenarios.
Highlight Agile Experience: Since the role requires experience with Agile practices, mention any relevant methodologies you've used in past projects. This could include your role in sprints, collaboration with cross-functional teams, or any Agile certifications you may have.
How to prepare for a job interview at RemoteStar
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and any other relevant programming languages. Be prepared to discuss specific projects where you utilised these skills, especially in relation to cloud platforms like AWS or Azure.
✨Demonstrate Your Cloud Experience
Since the role requires extensive experience with public cloud platforms, be ready to explain how you've implemented solutions using AWS, Azure, or Google Cloud. Share examples of challenges you faced and how you overcame them.
✨Discuss Real-Time Data Applications
Prepare to talk about your experience with real-time data and streaming applications. Discuss the tools you've used, such as Spark or Kafka, and provide insights into how you ensured data integrity and performance.
✨Familiarise Yourself with Agile Practices
As Agile engineering practices are essential for this role, be ready to discuss your experience working in Agile teams. Share how you contributed to sprints, collaborated with team members, and adapted to changing requirements.
