We are seeking a highly skilled Data Engineer to join our Digital Health Strategy Business Unit. The ideal candidate will possess advanced expertise in data modeling, ETL processes Additionally, proficiency in DataBricks, coupled with a strong background in DevOps practices and experience managing ITIL processes using ServiceNow, is essential. This role provides an opportunity to lead impactful projects within a dynamic environment, working alongside cross-functional teams to deliver robust and scalable data solutions. Key Responsibilities

• Data Engineering & Workflow Optimization
  • Lead the development and optimization of data engineering workflows within DataBricks.
  • Implement scalable data integration solutions across multiple sources while optimizing performance and storage.
• Cross-Functional Collaboration
  • Partner with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable solutions.
• Operational Excellence & DevOps Leadership
  • Serve as the Lead Service Manager, driving operational excellence through robust DevOps practices.
  • Manage ITIL processes (Change, Incident, Problem Management) using ServiceNow to ensure seamless operations.
  • Define and execute a continuous improvement agenda aligned with organizational goals.

Qualifications

• Education
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s degree preferred).
• Experience
  • 5+ years in Data Engineering with a focus on data modeling and ETL processes.
  • Proven proficiency in DataBricks for data engineering solutions.
• DevOps & ITIL
  • Strong knowledge of DevOps practices and hands-on experience managing ITIL processes using ServiceNow.
• Skills
  • Excellent problem-solving abilities and the capacity to manage multiple priorities independently.
  • Strong communication and collaboration skills for effective teamwork across departments.

Preferred Skills

• Experience in healthcare or digital health data management.
• Familiarity with cloud-based storage and processing technologies.
• Knowledge of agile methodologies and continuous delivery practices.