At a Glance
- Tasks: Design and maintain high-performance data pipelines on AWS and manage enterprise data lakes.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Be at the forefront of data engineering and make a significant impact in the tech industry.
- Qualifications: 8+ years of experience in data engineering with strong AWS skills.
The predicted salary is between 70000 - 90000 £ per year.
Minimum years of experience: 8 to 10 years
Job Description
Key Responsibilities
- Design, develop, and maintain scalable, secure, and high-performance data pipelines on AWS.
- Build and manage enterprise data lake solutions using Amazon S3 and AWS Lake Formation.
- Develop and support ETL/ELT workflows using AWS Glue, Python, and SQL.
- Design and implement serverless data processing solutions using AWS Lambda.
- Orchestrate and automate data workflows using AWS Step Functions.
Data Warehousing & Analytics
- Design, develop, and optimize data warehouse solutions using Amazon Redshift.
- Enable data analytics and reporting through Amazon Athena.
- Ensure data quality, integrity, and availability across the data platform.
- Configure and manage AWS services including IAM, VPCs, Subnets, SNS, and SQS.
- Develop Infrastructure as Code (IaC) using AWS CloudFormation.
Core Skills & Competencies
- AWS: S3, IAM, Lambda, Glue, Step Functions, Lake Formation, VPC & Subnets, Athena, Redshift, Service Catalog, CloudFormation, SNS, SQS
- Programming: SQL, Python, ETL/ELT
- Development: Unix/Linux, Shell Scripting, Git
Qualifications & Experience
- Bachelor's or Master's degree in a related field.
- 8+ years of experience overall and 6+ years of experience as AWS Data Engineer.
AWS Data engineer in Northampton employer: Ampstek
Ampstek is an excellent employer that fosters a collaborative and innovative work culture in the vibrant city of Cardiff. With a strong focus on employee growth, we offer continuous training and development opportunities, ensuring our team members can thrive in their careers while contributing to meaningful logistics solutions. Our commitment to enhancing efficiency in logistics processes not only benefits our clients but also creates a rewarding environment for our employees to make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data engineer in Northampton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ampstek!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AWS Data engineer at Ampstek.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ampstek.
✨Apply Directly through Our Website
When you find a suitable opening like AWS Data engineer at Ampstek, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AWS Data engineer in Northampton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ampstek, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ampstek. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ampstek
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ampstek!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
