Компания "ТРТ"
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.
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