обновлено 4 дня назад
Senior Data Engineer (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Healthcare) (Python/SQL/Apache Spark): Building and maintaining large-scale cloud-based data infrastructure, data pipelines, self-service tools, and microservices for healthcare applications with an accent on distributed data processing, data architecture, and medical data integration. Focus on designing scalable cloud platforms, optimizing large datasets, implementing ETL and Data Lake pipelines, and organizing disparate sources into clean schemas.
Location: Remote in Europe or Ukraine
Company
Software engineering company delivering IT solutions for global clients, including healthcare technology projects.
What you will do
- Design and maintain large-scale cloud data infrastructure for healthcare applications.
- Define efficient data pipelines and data schemas with the Product Owner and team leads.
- Build cloud infrastructure and data platforms using Terraform.
- Develop self-service tooling, microservices, and squad-specific data architectures.
- Optimize large datasets and ensure reliable data integration.
- Organize disparate data sources into clean schemas following ETL and Data Lake principles.
Requirements
- Expert-level Python, SQL, Apache Spark, and PySpark skills.
- Hands-on experience with cloud computing services for data and analytics, including Azure, Snowflake, and Databricks.
- Experience with data modeling, reporting tools, data governance, and data warehousing.
- Experience with Docker, Kubernetes, Terraform, and infrastructure as code.
- Knowledge of Kafka and Spark Structured Streaming for stream processing.
- Upper-Intermediate English or higher required.
Culture & Benefits
- Remote work format with collaboration across international teams.
- Work on healthcare technology intended to improve access to and analysis of medical data.
- Supportive environment with opportunities for professional growth.
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