At a Glance
- Tasks: Design and manage ETL pipelines using AWS for telecom data processing.
- Company: Leading tech services company in the UK with a focus on innovation.
- Benefits: Dynamic work environment and opportunities for professional growth.
- Other info: Full-time, on-site role in Ipswich, perfect for experienced data engineers.
- Why this job: Join a team that drives data analytics in the exciting telecom sector.
- Qualifications: Experience in Python, SQL, and telecom data pipelines required.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology services company in the UK is seeking an experienced AWS Data Engineer to support data processing and analytics initiatives. The candidate will design ETL pipelines using AWS services and manage data solutions in the telecom domain.
Required skills include:
- Python
- SQL
- Expertise in telecom data pipelines
The role is full-time, on-site in Ipswich, and ideal for someone with 3–10 years of experience. The company offers a dynamic work environment focused on innovation.
Telecom Data Engineer - AWS, ETL, Redshift & Iceberg in Ipswich 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 Telecom Data Engineer - AWS, ETL, Redshift & Iceberg in Ipswich
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Telecom Data Engineer - AWS, ETL, Redshift & Iceberg in Ipswich
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!
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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.
