Senior Data Platform Engineer (remote) - Remote Eligible

Senior Data Platform Engineer

We are looking for a talented Senior Data Platform Engineer to join our Data Engineering team, to participate in the development and maintenance of data pipelines for blockchain data processing. This is a remote role, and we are flexible with considering applications from anywhere in Europe.

Active participation in development and maintenance of our data pipelines and backend services;

Integration of blockchains, Automated Market Maker (AMM) protocols, and bridges within Crystal's platform;

Integrate new technologies into our processes and tools;

End-to-end feature designing and implementation;

Code, debug, test and deliver features and improvements in a continuous manner;

Provide code review, assistance, and feedback for other team members.

8+ years of experience in software engineering, developing backend services/APIs or data pipelines;

Strong knowledge and experience with Python;

Advanced knowledge of SQL - ability to write, understand and debug complex queries;

Strong database architecture principles;

Strong experience with data lakes, data warehouses, relational and analytical databases;

POSIX/Unix/Linux ecosystem knowledge;

Blockchain tech knowledge or willingness to learn;

Experienced in Unit Testing principles;

Experience with Docker containers and proven ability to migrate existing services;

Independent and autonomous way of working;

Team-oriented work and good communication skills are an asset.

Practical experience in big data and frameworks – Kafka, Spark, Dask, Flink and Data Lakes;

Experience with Kubernetes and Infrastructure as Code – Terraform and Ansible;

Experience with API frameworks such as Flask or FastAPI;

Experience with distributed systems;

Experience with opensource solutions;

Experience with Java or willingness to learn.