Data Engineer

Job Title: Data Engineer – Oncology Data Mapping Location: Remote (Hybrid as needed) Experience Required: 10–12 years Role Summary We are seeking an experienced Data Engineer with 10–12 years of experience to lead Data Mapping and Integration activities for Oncology projects. The role requires strong data management expertise, particularly in Oracle Customer Data Management and CUSTOM D2 for LS, with added advantage for proficiency in Python and Scala. The candidate should bring domain experience in healthcare/oncology, demonstrating a deep understanding of clinical data models and standard medical terminologies. Key Responsibilities • Lead and execute Data Mapping initiatives for Oncology projects, ensuring accuracy, quality, and timely delivery. • Analyze existing data models and workflows, aligning solutions with organizational and clinical objectives. • Apply technical skills in Oracle Customer Data Management (CDM) and CUSTOM D2 for LS to support data integration and quality assurance. • Utilize or support scripting with Python and Scala for automation and data transformation tasks. • Leverage Oncology EMR systems and FHIR/mCODE frameworks for healthcare data interoperability. • Ensure correct mapping of standard clinical terminologies: ICD-10-CM, SNOMED CT, LOINC, RxNorm, NDC, etc. • Develop and maintain project plans, schedules, and progress reports. • Collaborate with cross-functional teams, ensuring stakeholder alignment and transparency. • Identify risks, track milestones, and maintain compliance with data governance and quality standards. • Support innovation and continuous improvement through data-driven insights and recommendations.