Data Engineer - Platform

Roles & Responsibilities :

• Function as a Digital Technology Data and Analytics Data Engineer within a Scaled Agile Framework (SAFe) product team
• As member of Global Medical Data and Analytics Product team, ensure progress to business needs in a cost effective, compliant, reliable way
• Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy
• Integrate data and develop integration queries, ETL pipelines in Databricks datalake environment.
• Lead data analysis and insights user stories and utilize existing CI / CD delivery pipeline and processes - streamlining current processes with a focus on automation
• Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software.
• Develop Test classes and automation to validate business logic and avoid production issues
• Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner
• Research AI / LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions
• Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment
• Familiarity with AWS Services and other cloud technologies
• Develop technical design and business documentations for end users
• Developing a deep understanding of the product and the customer experience
• Talking to customers at pivotal points of the customer journey and distilling insights on what customers value most
• Debug and solve inbound customer challenges quickly and always to the customer s satisfaction

What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications :

Preferred Qualifications :

Functional Skills :

Must-Have Skills (Not more than 3 to 4) :

Professional Certifications   (please mention if the certification is preferred or mandatory for the role) :

Soft Skills :

Skills Required

Sql, Python, Etl, Data Pipeline, Kafka, Nosql