Responsibilities
:
1. Develop, highly scalable data pipelines and integration solutions.
2. Design and implement efficient database architectures to support the storage and retrieval of large datasets.
3. Collaborate with quants and data scientists to understand their data needs and provide timely and reliable data support.
4. Ensure data quality and integrity through effective dataernance and management practices.
5. Troubleshoot and resolve data-related issues, ensuring minimal disruption to operations.
Requirements:
Requirements:
6. Bachelor's or Master’s degree inputer Science, Engineering, or a related field.
7. Proven experience as a Data Engineer or in a similar role, preferably within the financial industry.
8. Strong proficiency in SQL and experience with relational databases.
9. Hands-on experience with data pipeline tools (, Apache NiFi, Apache Airflow).
10. Proficiency in Python.
11. Strong understanding of AWS.
12. Familiarity with big data technologies (, Hadoop, Spark) is a plus.
13. Solid understanding of data architecture and ETL processes.
Please only apply to this position if you are based in Switzerland and do not require sponsorship.