Senior Data Engineer

Requirements

• 5+ years of hands-on experience in data management and curation with Python, Excel
• 2+ years in team leadership or management role.
• Excellent organizational, interpersonal, and leadership skills.
• Experience in hiring, mentoring, and performance management.
• In-depth knowledge of SQL and query optimizations.
• Experience with file formats such as JSON, CSV, Parquet, FHIR, DICOM.
• Experience with Dataframe-based libraries (Pandas, Polars, PySpark).
• Experience with writing and overseeing unit, component, integration, and end-to-end tests.
• Strong team player with proven ability to build and lead high-performing teams.
• Collaborative and communicative style, able to adapt to change and guide others through transitions.
• Hands-on experience with cloud providers. (Such as AWS/GCP/Azure)
• Experience with technologies such as AWS Lambda, S3, Athena, API Gateway, DynamoDB
• Experience Working with orchestrators such as AWS Step Functions, Event Bridge, SQS/SNS, Kinesis or Kafka.
• Knowledge of Docker, CI/CD processes, and infrastructure as code tools. (e.g. AWS CloudFormation, Terraform, CDK)
• Background in medicine / medical industry and experience with standard medical terminologies such as UMLS.
• Inclusion and Diversity
• We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.
• #LI- JJ1
• #LI-ONSITE
• Additional Information
• Relocation Assistance Provided: No

Benefits

Additional Information

Job Description Summary This Senior Data Engineer is responsible for leading the design and management of scalable data solutions that enable product and clinical innovation. This role drives data architecture, process automation, and cross-functional data workflows while establishing engineering best practices and mentoring team members to ensure high-quality, data-driven outcomes. Job Description [HR Talk] GE헬스케어 성남 초음파 연구소에서 데이터 플랫폼과 데이터 관리 체계를 설계-운영하며 다양한 데이터 기반 업무를 이끄는 포지션을 채용합니다. 제품 및 임상 데이터를 효과적으로 활용할 수 있는 데이터 아키텍처를 구축하고 데이터 자동화와 프로세스 개선을 주도합니다. 또한 데이터 관련 기술과 업무 방식을 발전시키고 팀원들의 성장을 돕는 중요한 역할을 담당합니다. 유관한 업무경험이 있으신 경력자를 우대하며 영어커뮤니케이션이 원활하신 후보자를 선호합니다. Roles and Responsibilities Lead the definition, development, and maintenance of database solutions. Manage and prioritize data team tasks . Drive support and optimization of data processes and automations. Oversee data preparation and analysis for regulatory submissions. Translate product and clinical needs to a data architecture. Lead cross-team data workflow with Algo, Clinical, Verification and Product teams. Establish data engineering with the best practices and standards. Provide technical mentorship and guidance to team members. Quality Specific Goals: Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position. Complete all planned Quality & Compliance training within the defined deadlines Identify and report any quality or compliance concerns and take immediate corrective action as required. Support compliance/closure of Regulatory and Quality requirements before completing Design Outputs/Program Deliverables. Participate in continuous improvement activities by identifying and appropriately escalating process and product quality gaps, providing solutions when possible.

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