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.

#LI – remote

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