Data Engineer

Summary:

As a Data Engineer you will build data intensive products, pipelines and systems leveraging data engineering best practices and strength in data ingestion, modeling, extraction, and highly scalable data management systems.

About the Role:

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.