Where data is the primary challenge (quantity of data, the complexity of data, or the speed at which it is changing), increasing business value, enhancing BR decision-making and enabling a data-centric culture  by

• implementing data-intensive products, platforms, pipelines, and systems
• sharing data-intensive expertise, tools, and techniques
• implementing and improving the health, security, integrity, and quality of our interconnected data ecosystem

Major Accountabilities:

• Build and deploy production systems for scientists who have high expectations for quality, turnaround, performance and reliability.
• Contribute to the creation of a reusable, reliable, observable platform for ingesting a large number of heterogeneous data sets from numerous disparate sources, including all of the major cloud providers
• Participate in and promote professional data engineering practices as appropriate within your team.
• Ensure adherence to Novartis global Information Security and Quality standards and policies for all products/services.

Essential Requirements:

• Experience developing components of a cloud-based solution at scale
• Demonstrated understanding of data processing engines, data ingestion, modeling, extraction, and metadata
• Demonstrated ability to work well as part of a high-performing engineering team
• Experience building or enhancing ETL pipelines using cloud-centric technologies
• Interest in intersection between the life sciences and computer science
• Excellent interpersonal skills with the ability to communicate effectively within your team
• Experience adhering to a standard software development lifecycle, including build platforms (Jenkins) and source repositories (Git)
• Self-directed and capable of working effectively in a dynamic environment
• Able to work independently while consulting and informing the broader team

Desirable Requirement

• Linux, shell scripts / bash
• Javascript / Typescript / Node.js
• Experience with Python a plus
• Experience coding with restful APIs
• Experience using browser developer tools, such as Postman
• Demonstrated understanding of AWS technologies such as EC2, S3, Lambda
• Basic statistics / numeral literacy