At a Glance
- Tasks: Build scalable data streaming platforms using Kafka, Flink, and Beam.
- Company: Yelp Inc., a leader in enhancing user experiences through technology.
- Benefits: Competitive salary, flexible working, and comprehensive health insurance.
- Other info: Supportive environment focused on employee welfare and career growth.
- Why this job: Join a team that optimises user experiences and drives innovation in advertising.
- Qualifications: Experience with data streaming technologies and a passion for engineering.
The predicted salary is between 60000 - 80000 £ per year.
Yelp Inc. is seeking experienced engineers to build scalable platforms that enhance data streaming capabilities for its features teams. You will work with technologies like Kafka, Flink, and Beam to optimize Yelp’s user experiences and advertising business.
This role offers competitive salary, flexible working, and comprehensive health insurance, with committed support for employee welfare and career growth.
Senior Data Streams Platform Engineer - Kafka & Flink in London employer: Yelp, Inc
Yelp Inc. is an exceptional employer that prioritises employee welfare and career development, offering a dynamic work culture where innovation thrives. As a Senior Data Streams Platform Engineer, you will enjoy competitive salaries, flexible working arrangements, and comprehensive health insurance, all while contributing to impactful projects that enhance user experiences and drive the advertising business forward.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Streams Platform Engineer - Kafka & Flink in London
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We think you need these skills to ace Senior Data Streams Platform Engineer - Kafka & Flink in London
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 Yelp, Inc, 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 Yelp, Inc. 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 Yelp, Inc
✨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 Yelp, Inc!
✨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.
