Senior Data Engineer

The team of experts providing analytical services to healthcare clients is looking for a great, long-term Senior Data Engineer.

You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services. 

The company offers exposure to a variety of industries and technologies, room to grow as a professional, time in projects to learn new skills and an opportunity to work with phenomenal coworkers, some of the best people on the planet. 

Requirements:

Senior-level candidate should be proficient in at least one of the following dev methodologies:

1. Software Engineering:
- Python (advanced);
- SQL (upper-intermediate);
- Shell;
- OOP;
- Algorithms and Data Structures;
- Web Development.

2. Data Engineering:
- Python (upper-intermediate);
- SQL (advanced);
- ELT/ETL;
- Query;
- Optimization,
- Data Architecture, Data Analysis.

Nice to have:
- Web Scraping and Web Crawling;
- Third-party API integrations;
- Airflow / Cloud Composer;
- Ni-Fi, Dagster, or similar software.

Technical Stack:
- Cloud-Native Engineering (Google Cloud Platform);
- SQL, Google Cloud Spanner, Google BigQuery;
- Cloud Composer;
- Google Kubernetes Engine, Docker;
- Google Pub/Sub;
- Python, FastAPI, Pandas, PyTest, Google Cloud Functions/Run;
- Git, GitHub;
- Shell, Terraform, Circle CI / Google Cloud Build.

Benefits:

• Flexible working hours;
• Remote work;
• Interesting projects to work on;
• Exposure to a variety of industries and technologies.