Senior Data Platform Engineer (Remote)

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.

Required:

• 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.

Would be a plus:

• 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.