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- Tasks: Lead projects by translating requirements into technical solutions using AWS and Big Data.
- Company: Dynamic tech company in Northampton with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Engage in Agile methodologies and collaborate with various stakeholders.
- Why this job: Join a diverse team and stay ahead of tech trends while making an impact.
- Qualifications: 6-8 years of experience in AWS, Big Data, Python, and SQL.
The predicted salary is between 60000 - 80000 £ per year.
A technology company in Northampton seeks a Technical Lead Engineer with expertise in AWS and Big Data. The role involves translating project requirements into technical solutions, collaborating in a hybrid environment, and participating in Agile methodologies.
Candidates should have 6-8 years of experience, strong analytical skills, and familiarity with AWS services and coding languages like Python and SQL. This position offers the opportunity to work in a diverse stakeholder environment and keep abreast of technological trends.
AWS Cloud Tech Lead | Big Data & PySpark (Hybrid) employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Cloud Tech Lead | Big Data & PySpark (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AWS and Big Data. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, PySpark, and Python. 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 Agile methodologies and technical problem-solving. Practice common interview questions related to AWS and Big Data, so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AWS Cloud Tech Lead | Big Data & PySpark (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Big Data, and any relevant coding languages like Python and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Technical Lead Engineer role. Share specific examples of how you've translated project requirements into technical solutions in the past.
Show Off Your Analytical Skills: Since strong analytical skills are key for this role, make sure to include examples that demonstrate your problem-solving abilities. We love seeing how you approach challenges and come up with innovative solutions!
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 Natobotics
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with the specific services mentioned in the job description, like EC2, S3, and Lambda. Be ready to discuss how you've used these services in past projects.
✨Showcase Your Big Data Experience
Prepare to talk about your experience with Big Data technologies and frameworks, especially PySpark. Have examples ready that demonstrate how you've translated project requirements into technical solutions using these tools.
✨Emphasise Agile Methodologies
Since the role involves Agile methodologies, be prepared to discuss your experience working in Agile teams. Share specific instances where you contributed to sprints or retrospectives, and how you adapted to changes in project requirements.
✨Engage with Stakeholders
Highlight your ability to work with diverse stakeholders. Think of examples where you've successfully collaborated with different teams or clients, and be ready to explain how you managed communication and expectations throughout the project lifecycle.