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:
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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.
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SQL Expertise: SQL expertise, including the ability to write complex queries, optimize performance (indexing, query tuning), and understand schema design, normalization, and relational data models;
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API Development: Experience in developing and deploying APIs, preferably using frameworks like FastAPI.
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DBT (Data Build Tool): Experience with DBT for data transformation and modeling within the analytics stack.
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Cloud Platforms: Experience with Google Cloud, with a preference for familiarity with BigQuery or Spanner.
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Microservices Deployment: Experience in deploying microservices architectures.
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Communication Skills: Good verbal and written communication skills to effectively interact with team members and stakeholders.
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Language Proficiency: Intermediate+ English (at least in written communications).
Preferred Experience:
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Jinja Templating: Knowledge of Jinja templating language for creating dynamic SQL scripts and reports.
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Automated Testing: Experience in writing and maintaining automated tests for code and data, including unit, integration, and data validation testing.
Benefits:
• Flexible working hours;
• Fully remote job;
• Opportunity to work with international team of first-class professionals.
• Interesting projects to work on.