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Senior Data Engineer at Zerosigma Capital GmbH
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We’re looking for an experienced Data Engineer to build, manage, and maintain a robust data infrastructure (ETL) for collecting vast amounts of financial data. 🪂💻💹
At least 4 years of experience in building ETL and working with the following technologies and tools:
- Python
- Google Cloud Platform (GCP)
- CI/CD
- PostgreSQL
- Apache Airflow
- GitLab
- Docker
- Kubernetes
- ETL
- Excellent Communication Skills
Key Responsibilities and Technologies:
- Implement and manage ETL processes using Python (Pandas).
- Optimize workflows within GCP (Composer, Cloud run …)
- Work with Cloud SQL and PostgreSQL to manage and query large datasets.
- Integrate new data sources and map to existing datasets.
- Develop APIs using FastAPI to enable data access and integration.
- Implement caching solutions using Redis or Memcached.
- Manage version control and CI/CD pipelines with GitLab.
- 15-min introductory call where we explain our product vision to see if we align with candidate’s interests.
- 30-min call with our engineer to explain the backend architecture and to get understanding of candidate’s experience.
- A paid 2-weeks test task to vet candidate’s skills.
- Equity stake: Participate in the success of our platform.
- Remote first: Work from anywhere, anytime.
- Interesting work: Collaborate in developing cutting-edge financial technology that processes millions of data points, leverages data science and natural language processing (NLP) to extract valuable insights and keeps an eye on financial markets 24/7.
Apply: anttechhr@gmail.com
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