Senior Data Engineer

Our client delivers digital and AI-driven solutions specifically for the life sciences and healthcare industries.
The company provides end-to-end engineering, informatics, and data science services. They utilize scientific and technical expertise to build scalable, secure, and compliant digital solutions.
Core services and activities include:
• Artificial Intelligence.
• Scientific Informatics and Laboratory Informatics.
• Developing Custom Laboratory Software Solutions.
• Data Science and Engineering.
• Solution Design, such as designing data management infrastructure to support scientific research.
• Cloud Engineering, utilizing expertise in GCP and AWS.
• Developing High Performance Computing (HPC) platforms for tasks like cell image analysis and molecular docking.

Senior Data Engineer will focus on data processing to develop intelligent solutions that enable our customers to accelerate scientific discoveries, generate clinical data, and solve R&D challenges.

We are looking for a skilled and motivated Senior Data Engineer to join dynamic team.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

Design and create pipelines for data ingestions based on the Databricks Platform
Preparing data transformations with Python and PySpark library
Conduct Data Discovery with Data lineage to build Data Domains

• 5+ years of experience in Data Engineering
• Strong familiarity with the Databricks platform (including Unity Catalog)
• Ability to write robust code with Python
• Proficiency with Spark (PySpark)
• Knowledge of cloud platforms: AWS
• Exposure to Data Mesh architecture
• Ability to collaborate closely with US time zones (EST or CST)