Senior Data Engineer (Healthcare domain)

Collaborate with the Product Owner and team leads to define and design efficient pipelines and data schemas Build and maintain infrastructure using Terraform for cloud platforms Design and implement large-scale cloud data infrastructure, self-service tooling, and microservices Work with large datasets to optimize performance and ensure seamless data integration Develop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principles Discover, analyze, and organize disparate data sources into clean, understandable schemas Hands-on experience with cloud computing services in data and analytics Experience with data modeling, reporting tools, data governance, and data warehousing Proficiency in Python and PySpark for distributed data processing Experience with Azure, Snowflake, and Databricks Experience with Docker and Kubernetes Knowledge of infrastructure as code (Terraform) Advanced SQL skills and familiarity with big data databases such as Snowflake, Redshift, etc. Experience with stream processing technologies such as Kafka, Spark Structured Streaming At least an Upper-Intermediate level of English Are you passionate about building large-scale cloud data infrastructure that makes a real difference? We are looking for a Senior Data Engineer to join our team and work on an impactful healthcare technology project. This role offers a remote work format with the flexibility to collaborate across international teams. At Sigma Software , we deliver innovative IT solutions to global clients in multiple industries, and we take pride in projects that improve lives. Joining us means working with cutting-edge technologies, contributing to meaningful initiatives, and growing in a supportive environment. CUSTOMER Our client is a leading medical technology company. Its portfolio of products, services, and solutions is at the center of clinical decision-making and treatment pathways. Patient-centered innovation has always been, and will always be