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- Tasks: Design scalable data pipelines using Python and Apache Spark for data-driven solutions.
- Company: Leading IT consulting firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, skill enhancement, and collaborative Agile environment.
- Why this job: Enhance your skills in a dynamic role within the financial indices domain.
- Qualifications: Proficient in Python, familiar with AWS data stack, and Agile experience.
- Other info: Great opportunity for career growth and impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
A leading IT consulting firm in Greater London is seeking a skilled Data Engineer to design scalable data pipelines using Python and Apache Spark. This role involves orchestrating workflows with AWS tools and collaborating closely with business teams to deliver data-driven solutions.
Ideal candidates are proficient in Python, familiar with the AWS data stack, and enjoy working in Agile environments. Attractive opportunity for those interested in enhancing their skills within the financial indices domain.
AWS Data Engineer — Scalable Pipelines & Lakehouse employer: Falcon Smart IT (FalconSmartIT)
Contact Detail:
Falcon Smart IT (FalconSmartIT) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer — Scalable Pipelines & Lakehouse
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python and Apache Spark. This is your chance to demonstrate your expertise in building scalable data pipelines and using AWS tools.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies. Be ready to discuss how you've collaborated with business teams in the past to deliver data-driven solutions. We want to see your teamwork skills shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AWS Data Engineer — Scalable Pipelines & Lakehouse
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS tools. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects or 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 team. We love seeing enthusiasm for the financial indices domain, so let that passion come through.
Showcase Your Agile Experience: Since we work in Agile environments, it’s important to mention any experience you have with Agile methodologies. Share examples of how you’ve collaborated with teams to deliver data-driven solutions, as this will resonate with us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Know Your Tech Stack
Make sure you brush up on your Python and Apache Spark skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to building scalable data pipelines.
✨Familiarise with AWS Tools
Since this role involves orchestrating workflows with AWS, take some time to get comfortable with the AWS data stack. Understand the key services like S3, Glue, and Redshift, and be prepared to explain how you would use them in a real-world scenario.
✨Show Your Agile Mindset
This position values collaboration in Agile environments, so think of examples where you've worked in Agile teams. Be ready to discuss how you adapt to changes and contribute to team success, as this will show you're a great fit for their culture.
✨Prepare for Business Collaboration Questions
Since you'll be working closely with business teams, anticipate questions about how you translate technical data solutions into business value. Think of specific instances where your work has directly impacted decision-making or improved processes.