We're looking for an experienced Backend Engineer to build, manage, and maintain a robust data infrastructure for collecting vast amounts of financial data. 🪂💻💹

Technologies

Python

GCP

CI/CD

Docker

Kubernetes

PostgreSQL

Airflow

GitLab

ETL

Requirements

At least 5 years of experience working with the following technologies and tools:

Python

Google Cloud Platform (GCP)

CI/CD

PostgreSQL

Apache Airflow

GitLab

Docker

Kubernetes

ETL

Excellent Communication Skills

Responsibilities

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.

Recruitment Process

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.

Benefits

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.

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