At a Glance
- Tasks: Design and build reliable data pipelines on a modern data platform.
- Company: Join Goldman Sachs, a leader in financial services and innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Experience with SQL and Apache Spark is a plus.
- Why this job: Work with cutting-edge technologies in a fast-paced environment and make an impact.
- Qualifications: Degree in a relevant field and strong programming skills in Python or Java.
The predicted salary is between 80000 - 100000 € per year.
Goldman Sachs is looking for a Data Engineer to design and build reliable data pipelines on a modern data platform. In this role, you'll be responsible for data ingestion, transformation, and modeling, ensuring data quality and performance.
The ideal candidate has a degree in a relevant field and strong programming skills in Python or Java, along with experience in SQL and Apache Spark. The position offers opportunities to work with cutting-edge technologies in a fast-paced environment.
Data Platform Engineer – Lakehouse & AI (VP) employer: WeAreTechWomen
Goldman Sachs is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Platform Engineer, you'll have access to cutting-edge technologies and the opportunity for professional growth in a fast-paced environment, all while being part of a globally respected firm that values diversity and employee development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer – Lakehouse & AI (VP)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Goldman Sachs on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines, transformations, and any projects using Python, Java, SQL, or Apache Spark. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data structures, algorithms, and system design. We can even set up mock interviews with friends to nail those tricky questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications and follow up easily.
We think you need these skills to ace Data Platform Engineer – Lakehouse & AI (VP)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines, programming skills in Python or Java, and any relevant projects. We want to see how your background aligns with the role of a Data Platform Engineer.
Showcase Your Skills:In your cover letter, don’t just list your skills—show us how you've used them in real-world scenarios. Talk about your experience with SQL, Apache Spark, and any data transformation projects you've tackled.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications without sifting through unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Tech Stack
Make sure you’re well-versed in Python or Java, SQL, and Apache Spark. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. We recommend preparing specific examples that showcase your skills and problem-solving abilities.
✨Understand Data Pipelines
Since the role focuses on designing and building data pipelines, it’s crucial to understand the entire process from data ingestion to transformation and modelling. We suggest reviewing common challenges in data pipeline development and thinking about how you’ve tackled similar issues in your previous roles.
✨Showcase Your Problem-Solving Skills
Goldman Sachs will likely want to see how you approach complex problems. Prepare to discuss scenarios where you had to troubleshoot data quality or performance issues. We advise practising the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Stay Current with Industry Trends
Working with cutting-edge technologies means you should be aware of the latest trends in data engineering and AI. We recommend reading up on recent advancements and being prepared to discuss how they could impact the role. This shows your enthusiasm for the field and your commitment to continuous learning.
