Data Engineer Clinical Analytics

Job Description:

Responsibilities

• Analyze, develop, combine raw information, and maintain various data sources
• Improve data quality and efficiency to build data systems and pipelines
• Identify opportunities for data acquisition
• Implement ETL methods to prepare both structured and unstructured data for predictive and prescriptive modeling
• Leverage data serialization techniques to meet project needs for use in various reporting platforms
• Develop analytical tools and programs suitable for users, customers, and stakeholders
• Collaborate with Business Intelligence (BI) ETL Developers/ Data Architect, Data Scientist, Reporting Analyst, and Subject Matter Experts (SME) to understand business goals.
• Understand enterprise project life cycle and prepare for integration and user acceptance testing methods.
• Produce technical documentation by following enterprise standards and guidelines
• Participate in relevant information-sharing activities
• Serve as escalation point for application support and troubleshooting
• Proactive identification of issues and opportunities that will have an impact on the business use of reports and ensure managerial awareness
• On a daily basis review outstanding issues to assure that troubleshooting and resolutions are current
• Ensure all changes comply with change management policies and procedures
• This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Qualifications

Education Level:
Bachelor s Degree in a technical field such as Computer Science or Computer Engineering

Customarily has at least three or more years in:

• Software development / Data-Centric pipelines / Model-Centric pipelines
• Relational Database experience
• Documentation and publication