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.

As a Senior Data Engineer you will:

• Develop scalable and efficient ETL processes from concept to production to ensure seamless data flow.

• Work closely with data analysts and business teams to understand data requirements and deliver reliable data solutions.

• Continuously improve and optimize data infrastructure, ensuring high performance, scalability, and security.

• Contribute to developing the internal analytical platform.

• Proactively identify opportunities for new data engineering services and innovative solutions to enhance data capabilities.

Requirements:

• Experience: At least 4 years of experience working as a data engineer or Python developer.

• Technical Skills:

- Python Proficiency: Proficiency in Python for data manipulation, analysis, and task automation. Beyond basic scripting, the candidate should have a strong grasp of object-oriented programming, including the ability to write classes, design and build modular, scalable solutions that extend beyond simple function writing.

- SQL Expertise: Proficiency in Structured Query Language (SQL) for complex data querying and manipulation.

- API Development: Experience in developing and deploying APIs, preferably using frameworks like FastAPI.

- DBT (Data Build Tool): Experience with DBT for data transformation and modeling within the analytics stack.

• Cloud Platforms: Experience with Google Cloud, with a preference for familiarity with BigQuery or Spanner.

• Microservices Deployment: Experience in deploying microservices architectures.

• Communication Skills: Good verbal and written communication skills to effectively interact with team members and stakeholders.

• Language Proficiency: Intermediate+ English (at least in written communications).

Preferred Experience:

• Jinja Templating: Knowledge of Jinja templating language for creating dynamic SQL scripts and reports.

• Automated Testing: Experience in writing and maintaining automated tests for code and data, including unit, integration, and data validation testing.

But wait, what about offer?

•  Flexible working hours;
• Fully remote work from anywhere;
• Ongoing professional development and training opportunities;
• Opportunity to work on cutting-edge projects with real-world impact.