Sigma Software is seeking a Senior Data Engineer to join an impactful project within the healthcare technology sector. You will be responsible for building and maintaining large-scale cloud data infrastructure that directly influences clinical decision-making and patient care outcomes.
Key responsibilities
- Collaborate with Product Owners and team leads to design efficient data pipelines and robust schemas.
- Build and maintain cloud infrastructure using Terraform to support scalable data solutions.
- Design and implement self-service tooling and microservices to streamline complex data processes.
- Develop and maintain squad-specific data architectures following ETL and Data Lake principles.
- Analyze and organize disparate data sources into clean, actionable schemas for healthcare applications.
Requirements
- Extensive hands-on experience with cloud computing services, data modeling, and data warehousing.
- Proficiency in Python and PySpark for distributed data processing and advanced SQL skills.
- Proven experience working with Azure, Snowflake, Databricks, Docker, and Kubernetes.
- Familiarity with stream processing technologies such as Kafka and Spark Structured Streaming.
- Strong communication skills with at least an Upper-Intermediate level of English.
What we offer
- The opportunity to work on meaningful, patient-centered healthcare innovation projects.
- A fully remote work environment with the flexibility to collaborate across international teams.
- Access to cutting-edge technologies and a supportive professional growth environment.
- Engagement in a global company delivering innovative IT solutions across multiple industries.