Senior Data Engineer (Healthcare domain)

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.CUSTOMEROur 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, at the core of the company. The client is committed to improving patient outcomes and experiences, regardless of where patients live or what they face. The Customer is innovating sustainably to provide healthcare for everyone, everywhere. PROJECTThe project focuses on building and maintaining large-scale cloud-based data infrastructure for healthcare applications. It involves designing efficient data pipelines, creating self-service tools, and implementing microservices to simplify complex processes. The work will directly impact how healthcare providers access, process, and analyze critical medical data, ultimately improving patient care. Responsibilities:Collaborate with the Product Owner and team leads to define and design efficient pipelines and data schemasBuild and maintain infrastructure using Terraform for cloud platformsDesign and implement large-scale cloud data infrastructure, self-service tooling, and microservicesWork with large datasets to optimize performance and ensure seamless data integrationDevelop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principlesDiscover, analyze, and organize disparate data sources into clean, understandable schemas Requirements:Hands-on experience with cloud computing services in data and analyticsExperience with data modeling, reporting tools, data governance, and data warehousingProficiency in Python and PySpark for distributed data processingExperience with Azure, Snowflake, and DatabricksExperience with Docker and KubernetesKnowledge 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 StreamingAt least an Upper-Intermediate level of English