At a Glance
- Tasks: Lead AWS cloud projects, develop solutions, and collaborate in an Agile environment.
- Company: Join a forward-thinking tech company in Northampton with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by leading innovative cloud projects and working with cutting-edge technologies.
- Qualifications: 6-8 years in AWS development, strong coding skills in Python and SQL.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 60000 - 80000 £ per year.
Location: Northampton, UK
Job Type: Hybrid - 3 days on-site
Minimum 6-8 years of experience working as AWS Big Data Developer
Key Skills required:
- AWS services – Glue, Cloud formation, Lake Formation, IAM, Lambda, Redshift
- Coding Languages – Python, SQL
- Big data technologies – PySpark, Spark
- Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka
• Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives.
• Understand project requirements and translate them into technical solutions which meet the project quality standards.
• Ability to work in a team in a diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
• Strong problem solving and good analytical skills.
• Excellent verbal and written communication skills.
• Experience and desire to work in a global delivery environment.
• Stay up to date with new technologies and industry trends in development.
Technical Lead Engineer-AWS, Cloud in Kettering employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead Engineer-AWS, Cloud in Kettering
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AWS or in cloud environments. 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 projects, especially those involving AWS services and big data technologies. 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 your problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, as this will demonstrate your ability to thrive in a team environment.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Technical Lead Engineer-AWS, Cloud in Kettering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services and big data technologies. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise in Glue, Lambda, and PySpark!
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 your past projects and how they relate to the requirements we’ve outlined.
Show Off Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex problems or worked in diverse teams. We love candidates who can demonstrate strong analytical skills and a knack for troubleshooting data issues.
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 at StudySmarter!
How to prepare for a job interview at N Consulting Global
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like Glue, Lambda, 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.
✨Show Off Your Coding Skills
Prepare to demonstrate your coding abilities in Python and SQL. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with common algorithms and data structures relevant to big data.
✨Emphasise Agile Experience
Since the role involves working in an Agile environment, be prepared to talk about your experience with scrum practices. Share specific examples of how you've contributed to sprint planning or retrospectives, and how you’ve collaborated with diverse teams.
✨Stay Current with Industry Trends
Show your enthusiasm for the field by discussing recent developments in cloud technologies and big data. Mention any new tools or frameworks you've explored, like Snowflake or Apache Kafka, and how they could benefit the company.