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Our client is a leading research-based biopharmaceutical company. They apply science and their global resources to deliver innovative therapies that extend and significantly improve lives. Every day, colleagues work across developed and emerging markets to advance wellness, prevention, treatments and cures that challenge the most feared diseases of our time.
ROLE SUMMARY
This role will contribute as an engineer to the implementation and delivery of analytical and operational business intelligence (BI) platforms that serve multiple organizations in Pfizer, including (but are not limited to) Research and Global Product Development organizations.
The Analytics Platform Engineer will be involved in the solution architecture, design, development, and management of operational BI and analytics platforms. Technologies that will be used include (but are not limited to) Amazon Web Services (AWS) (data/analytics technologies, Amazon Event Bridge, AWS Lambda, etc..), databases (Oracle, Postgres etc..), Spotfire, SAS, R, Tableau, Python, Alteryx, Databricks (Delta lake, Delta Sharing, etc..), Kafka, Spark Programming, Pfizer’s container ecosystem (Kubernetes/ Docker / Rancher / Artifactory).
ROLE RESPONSIBILITIES
- Works with implementation leads, technical leads and architects to understand new capability needs based on customer needs.
- Contribute to solution engineering for Business Intelligence (BI), data pipelining, and analytical platform projects
- Develops proof of concepts that will demonstrate how capabilities can be engineered
- Act as a key SME for production troubleshooting.
- Help develop a set of patterns for using the new capabilities.
BASIC QUALIFICATIONS
- Bachelor’s degree
- 5+ years experience
- Demonstrated experience engineering solutions with data warehouse, data lake, and BI/analytics technologies
- Strong experience engineering solutions with Amazon Web Services (AWS) (data/analytics technologies, Amazon Event Bridge, AWS Lambda, etc..), databases (Oracle, Postgres etc..), Spotfire, SAS, R, Tableau, Python, Alteryx, Databricks (Delta lake, Delta Sharing, etc..), Kafka, Spark Programming, container ecosystem (Kubernetes/ Docker / Rancher / Artifactory).
- Provide technical oversight for contracted team members that are designing, building, supporting, and maintaining BI / analytic platforms/solutions.
- Demonstrated experience providing technical oversight of engineering team members
- Candidate must demonstrate skills or an aptitude for analysis, problem solving, organization, written communication, and facilitation
- Excellent communication skills
- Experience engineering systems in the context of a structured software development lifecycle (SDLC/Agile)
