Senior Data Engineer (Healthcare field)

Company Description

Unleash your ambition and lead our team as a Senior Data Engineer! We are searching for a professional who not only possesses extensive experience in data engineering but is also ready to step into a leadership role.

Join us, and you will have the opportunity to innovate at the forefront of the team, refine our solutions, and help us scale new heights.

If you are prepared to accept this challenge and lead the team to success, submit your resume right now.

CUSTOMER

Our client is a leading medical technology company. Their portfolio of products, services, and solutions lies at the heart of clinical decision-making and treatment pathways. Patient-centric innovation is, and always will be, at the core of the company. The client is committed to fostering enhanced patient outcomes and experiences, no matter their location or circumstance. The client is sustainably innovating to provide healthcare for everyone, everywhere.

PROJECT

The Project's objective is to enable healthcare providers to elevate their value by equipping them with our innovative technologies and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, and digital health and enterprise services.

Job Description

• Work closely with the client (PO), as well as other Team Leads to clarify the tech requirements and expectations.
• Implement architectures based on Azure Cloud platforms (Data Factory, Databricks, Event Hub).
• Design, develop, optimize, and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles.
• Discover, comprehend, and organize disparate data sources and structure them into clean data models with clear and comprehensible schemas.
• Contribute to the evaluation of new tools for analytical data engineering or data science.
• Suggest and contribute to training and improvement plans regarding analytical data engineering skills, standards, and processes.

Qualifications

• Experience in data engineering and with cloud computing services solutions in the field of data and analytics, Azure being the preferred one.
• Theoretical knowledge of data analytics fundamentals, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, and 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 of Big Data DB like Snowflake, BigQuery, etc., Snowflake being the preferred one.
• Experience in database development and data modeling, ideally with Databricks/Spark.