As a Product Engineer, you will lead design, development, testing, deployment and operations for data products and solutions supporting Medical Affairs team. You will maintain deep working knowledge of data products serving Medical Affairs teams, their data lineage, business rules, KPIs, Usage and operations. You will collaborate with Global Capability, Business Engagement, Delivery and Platform teams to drive best customer experience and outcomes when delivering data products. You will ensure data products adhere to best practices and AZ architecture standards and strategy.
Essential Skills/Experience:
Bachelor’s degree or equivalent in Computer Engineering, Computer Science, or a related field
Prior experience in an Information Services/Information Technology environment with good business acumen
3-5 years of experience with building AWS or Azure cloud-based data pipelines
3-5 years of progressively responsible experience with Python and Spark
Minimum 7 years of progressively responsible experience with ETL, building complex data models/pipelines/products
Expertise in Continuous Integration and Deployment methods delivered as part of an agile team
Evidence of designing, shaping, and implementing innovative solutions and driving change
Ability to interpret and communicate technical information in business-friendly language
A broad understanding of cloud architecture
Strong communication and interpersonal skills
Ability to work within both Agile and Waterfall development methodologies
Proven experience of managing and coaching/mentoring junior engineers
Proven experience of developing and managing relationships with 3rd party suppliers
Strong written and verbal communications skills
Experience working in a global organization with a complex geographical structure
Desirable Skills/Experience:
Experience working in Databricks / Snowflake platform
Experience working in pharmaceutical Medical Affairs Function
Prior experience working in Pharmaceutical or Healthcare industry IT environment
Experience with IQVIA Claims, National and subnational sales data
Experience working within a DevOps delivery model
Experience of working within a quality and compliance environment and application of policies, procedures, and guidelines
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