Senior Data Engineer (Healthcare domain)

Company Description

Unleash your ambition and lead our team as a Senior Data Engineer! We are looking for a professional who not only has impressive data engineering experience,but is also ready to take on a leadership role. 

Join us, and you will have the opportunity to innovate, lead the team, improve our solutions, and help us reach new heights! 

If you are ready to take on this challenge and lead the team to success, submit your CV right now. 

CUSTOMER

Our client is a leading medical technology company. Its portfolio of products, services, and solutions is focused on 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 patient outcomes and experiences, no matter where people live or what problems they face. The client innovates sustainably to provide healthcare for everyone, everywhere.

PROJECT
The 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, molecular medicine, digital health, and enterprise services. 

Job Description

• Work closely with the client (PO) and other team leads to clarify technical requirements and expectations 
• Coordinate and supervise your team (up to 4 team members), track performance, and provide support where TL's support is required
• 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, analyze, and organize disparate data sources and structure them into clean data models with clear and understandable schemas
• Contribute to the evaluation of new tools for analytical data engineering or data science
• Suggest and contribute to training and improvement plans related to analytical data engineering skills, standards, and processes 

Qualifications

• Experience in data engineering and cloud computing services and solutions in the area of data and analytics, Azure is preferable 
• Conceptual 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 or Scala) 
• Understanding of big data databases such as Snowflake, BigQuery, etc.. Snowflake is preferable 
• Experience in database development and data modeling, ideally with Databricks or Spark 
• Fluency in business English 

Additional Information

Personal profile

• Excellent communication skills