At a Glance
- Tasks: Design and implement data solutions using AWS, Snowflake, and Python.
- Company: Join a leading tech firm focused on data innovation.
- Benefits: Attractive salary, flexible working hours, and opportunities for skill enhancement.
- Other info: Collaborative team environment with potential for career advancement.
- Why this job: Be at the forefront of data engineering and shape the future of technology.
- Qualifications: 12+ years in Python with strong AWS and Snowflake expertise.
The predicted salary is between 70000 - 90000 £ per year.
Mandatory Skillsets: AWS + Snowflake + Python
Preferred Technical Skills:
- Programming: 12+ years of experience in Python.
- Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).
- Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.
- Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.
- Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.
- Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.
- RDBMS: Knowledge of PostgreSQL is a plus.
Senior Data Engineer- AWS + Snowflake + Python employer: Infinity Quest
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Engineer, you will work with cutting-edge technologies like AWS and Snowflake in a dynamic environment. Our commitment to employee growth is reflected in our comprehensive training programmes and supportive work culture, ensuring you have the tools and opportunities to excel in your career. Located in a vibrant area, we offer a unique blend of professional development and a fulfilling work-life balance, making us an exceptional employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer- AWS + Snowflake + Python
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Snowflake. 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 using Python, AWS, and Snowflake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AWS services and data platforms. Practice coding challenges in Python and get comfortable discussing your experience with tools like Apache Airflow and DBT.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like 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 Senior Data Engineer- AWS + Snowflake + Python
Some tips for your application 🫡
Showcase Your Skills:Make sure to highlight your experience with AWS, Snowflake, and Python right from the start. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that relate to the mandatory and preferred skills listed in the job description. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’d be a great fit for the Senior Data Engineer position.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Infinity Quest
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS, Snowflake, and Python. Brush up on the specific services mentioned in the job description, like Lambda and Step Functions. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly knowledgeable.
✨Showcase Your Projects
Prepare to talk about your past projects where you’ve used Python and AWS. Highlight any data stack technologies you’ve worked with, like Apache Iceberg or Spark. Real-world examples can demonstrate your problem-solving skills and how you apply your technical expertise.
✨Familiarise Yourself with Workflow Tools
Since exposure to tools like Apache Airflow or DBT is preferred, make sure you understand their functionalities. If you’ve used them, be ready to discuss how they fit into your workflow and any challenges you faced while using them.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data architecture or the team’s approach to using AWS and Snowflake. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
