At a Glance
- Tasks: Build and run scalable data infrastructure for Zeta's platform.
- Company: Join Zeta Global, a leader in data-driven solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborate with teams across San Francisco and Berlin.
- Why this job: Make an impact by enabling data scientists to solve real business problems.
- Qualifications: Experience with Spark, Scala, and data infrastructure.
The predicted salary is between 70000 - 90000 £ per year.
Zeta Global is seeking a Senior Compute Platform Engineer on the Data Platform team to build and run the data infrastructure powering Zeta's platform, including the lakehouse.
You will work on scalable data processing, enabling data scientists and engineers to focus on business problems rather than infrastructure.
The role collaborates with teams in San Francisco and Berlin to grow the stack and deliver reliable, cost-efficient pipelines.
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Senior Compute Platform Engineer: Spark, Scala & Data Infra in London employer: Sierra Ventures
Zeta Global is an exceptional employer that fosters a culture of trust and belonging, making it a great place for Project Managers to thrive. With excellent medical, dental, and vision coverage, along with a commitment to diversity, equity, and inclusion, employees are empowered to bring their authentic selves to work. Located in the vibrant New York City, Zeta offers unique opportunities for professional growth and collaboration across diverse teams, ensuring meaningful and rewarding experiences in the fast-paced world of AI-powered marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Compute Platform Engineer: Spark, Scala & Data Infra in London
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We think you need these skills to ace Senior Compute Platform Engineer: Spark, Scala & Data Infra 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sierra Ventures. 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!
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✨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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✨Get Comfortable with Python and R
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✨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.
