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- Tasks: Design scalable data pipelines and implement ETL processes using AWS.
- Company: Leading tech solutions provider in London with a collaborative culture.
- Benefits: Competitive compensation and a supportive work environment.
- Why this job: Shape the future of data platforms and work with cutting-edge technologies.
- Qualifications: Over 10 years of engineering experience and expertise in cloud-native technologies.
- Other info: Exciting opportunity for career growth in a dynamic industry.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech solutions provider in London is seeking an experienced Senior Data Engineer to help shape the architecture of a next-generation data platform.
Responsibilities include:
- Designing scalable data pipelines
- Implementing ETL processes
- Orchestrating workflows using AWS
The ideal candidate will have over 10 years of experience in engineering and a strong background in cloud-native technologies. Competitive compensation and a collaborative work environment offered.
Senior AWS Data Engineer - Lakehouse & Spark Pipelines employer: Technopride Ltd
Contact Detail:
Technopride Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AWS Data Engineer - Lakehouse & Spark Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AWS or data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving scalable data pipelines and ETL processes. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AWS knowledge and Spark pipelines. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AWS Data Engineer - Lakehouse & Spark Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
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 you can contribute to our next-gen data platform. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves designing scalable data pipelines and implementing ETL processes, make sure to mention specific tools and technologies you’ve worked with. We’re keen to know about your hands-on experience with cloud-native solutions!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Technopride Ltd
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around data services like S3, Glue, and Redshift. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL Expertise
Prepare to dive deep into your experience with ETL processes. Have specific examples ready that highlight your ability to design and implement efficient data pipelines. Discuss the technologies you've used and how they contributed to the success of your projects.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that test your problem-solving abilities. Think about past challenges you've encountered in data engineering and be ready to explain your thought process and the solutions you implemented.
✨Cultural Fit Matters
Research the company culture of the tech solutions provider. Be prepared to discuss how your values align with theirs and how you can contribute to a collaborative work environment. This will show that you're not just a technical fit but also a cultural one.
