Data Sciences Platform Engineer

Key Skills

R Programming, Databricks, Statistical modeling, Dataiku, Infrastructure-as-code-IaC

Job Description

Are you looking for a patient-focused, innovation-driven company to inspire you and empower you to shine? Join us as an EDPP Data Sciences Platform Engineer in our Exton, PA office. where you will provide an organized, stable data sciences platform that reliably and predictably provides accurate, high-quality data-sciences data and capabilities to our business. You will also be part of a team, and with high levels of autonomy, responsible for the design and continuous improvement of data-sciences platforms and infrastructure, to ensure the platforms are available and being managed with metrics and service Service level agreements linked to availability, performance, and data delivery. As part of the team, you will report to the Head of Enterprise Platforms and Products.

How you will contribute:

• We ask that you will be collaborative across Enterprise Architecture, Platform Architecture, Solution and Data Engineering to understand design/requirements and build data sciences infrastructure to help them solve complex data use cases; create practical, useful, and flexible processes, and code to help us provide at scale
• We are looking for platform knowledge linked to systems that should include the following; Databricks, Dataiku, R (statistical computing), plotly
• We are looking for cloud engineering experience with data-specific infrastructure and tools. We use infrastructure-as-code (IaC) like CloudFormation and Terraform to automate the provisioning of infrastructure at scale, so experience with distributed systems on AWS is a must, although learning independently and quickly is even more important.
• Building data infrastructure is one thing and maintaining is another; our team must do both, so experience across the infrastructure stack is necessary. While we spend a lot of time thoughtfully designing CloudFormation and automating deployments, we also will debug production issues in a Unix shell and with databases.

Minimum Requirements/Qualifications:

• Bachelor's degree in engineering or equivalent
• 5 years of experience in cloud/software engineering, in a data-intensive environment
• We ask that you have platform knowledge linked to systems that should include the following; Databricks, Dataiku, R (statistical computing), Plotly
• We ask that you have cloud engineering experience with data-specific infrastructure and tools
• Experience building infrastructure as a product-centered around users' requirements
• Experience with AWS and its underlying services, including experience scaling and migrating systems
• Experience developing and debugging distributed systems on AWS
• Experience with big data architecture and solutions and the infrastructure that make them up is essential, and a passion for promoting and driving data.
• Project Management experience

What Takeda can offer you:

• Comprehensive Healthcare: Medical, Dental, and Vision
• Financial Planning & Stability: 401(k) with company match and Annual Retirement Contribution Plan
• Health & Wellness programs including onsite flu shots and health screenings
• Generous time off for vacation and the option to purchase additional vacation days
• Community Outreach Programs and company match of charitable contributions
• Family Planning Support
• Flexible Work Paths
• Tuition reimbursement

More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best-in-class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.