Position: Data Engineer (Healthcare domain)
Company: Sigma Software Group
Category: Data Engineer
Experience required: 3y
English level: upper

Sigma Software is looking for a motivated Data Engineer to join our growing engineering team. This opportunity is for you if you want to work in a close-knit team of Data engineers solving complex problems using advanced data collection, transformation, analysis, and monitoring.

We look forward to having you on our team!

**CUSTOMER**
Our client is a leading medical technology company. The portfolio of products, services, and solutions is at the center of clinical decision-making and treatment pathways. Patient-centered innovation is and always will be at the core of the company. The client is committed to creating better outcomes and experiences for patients, no matter where they live or what they face. The client is innovating sustainably to provide healthcare for everyone, everywhere.

**PROJECT**
Project’s mission is to enable healthcare providers to increase their value by equipping them with our innovative technologies and services in diagnostic and therapeutic imaging, laboratory diagnostics, and molecular medicine, as well as digital health and enterprise services.

**REQUIREMENTS**
Experience in data engineering and with cloud computing services solutions in the area of data and analytics, preferably with Azure
Conceptual knowledge of data analysis fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
Knowledge of SQL and experience with at least one programming language (Python/Scala)
Excellent communication skills and fluency in business English
Understanding Big Data Bases such as Snowflake, BigQuery, etc. Snowflake is preferred one
Experience in database development and data modelling, ideally with Databricks/Spark

**REQUIREMENTS**
Experience in data engineering and with cloud computing services solutions in the area of data and analytics, preferably with Azure
Conceptual knowledge of data analysis fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
Knowledge of SQL and experience with at least one programming language (Python/Scala)
Excellent communication skills and fluency in business English
Understanding Big Data Bases such as Snowflake, BigQuery, etc. Snowflake is preferred one
Experience in database development and data modelling, ideally with Databricks/Spark