Senior Data and AI Engineer
Must-have:PythonAWSAzureGoogle CloudCloudDataAgileAIE-CommerceHealthTechSecurityLead
About the Company
I am currently working with a leading global biopharmaceutical organization with a strong regional footprint across the Asia-Pacific healthcare market. They operate across the entire commercial value chain, leveraging research, manufacturing, and analytics to deliver innovative therapeutic solutions and improve patient outcomes.
About the Job
- Lead the design, development, and maintenance of scalable ETL data pipelines, extracting data from diverse sources (ERP, CRM, e-commerce) into centralized cloud and on-premise warehouses.
- Design, develop, and deploy AI and machine learning models into production to drive commercial initiatives like sales forecasting, customer segmentation, and pricing optimization.
- Manage regional master data and establish robust data governance frameworks to ensure data accuracy, security, and compliance across omnichannel touchpoints.
- Drive data engineering initiatives using Agile frameworks, taking end-to-end ownership of pipeline monitoring, troubleshooting, and continuous optimization.
- Utilize a modern tech stack including SQL, Python, R, and major cloud platforms (AWS, GCP, or Azure) to optimize infrastructure and handle high-volume datasets.
- Partner closely with cross-functional commercial teams to translate complex business requirements into actionable analytics that support business growth and profitability.
Skills and Requirements
- Bachelor's degree in Data Science, Business Analytics, Mathematics, or a related quantitative field with 3 to 5 years of hands-on data engineering experience.
- Strong technical proficiency in SQL, Python, and R, coupled with practical knowledge of cloud-based data platforms (AWS, GCP, or Azure) and on-premise infrastructure.
- Ability to process datasets in Mandarin and collaborate effectively with stakeholders in Chinese markets.
- Exceptional communication and problem-solving skills, with a proven ability to translate complex technical concepts and data insights to non-technical business leaders.
- Prior experience or knowledge regarding supply chain management processes; exposure to pharmaceutical or healthcare industry regulations is a strong plus.
- Detail-oriented and adaptable, with a strong track record of producing comprehensive technical documentation (architecture diagrams, data dictionaries) in a fast-paced environment.
To apply online please use the 'apply' function, alternatively you may contact Sophia Lim at 9248 7488. (EA: 94C3609/ R26163753 )