We will be asking you to  

• Lead elegant systems design and develop technologies to effectively ingest and store patient-related data and for data scientists and engineers to access this data with ease.
• Design, build and launch new data extraction, transformation and loading processes in production.
• Collaborate with product managers, data scientists and other engineers.

To be effective at this role you will need to be  

Curious – willing to learn new things and try new things, able to implement prototypes, rolling up your sleeves
Data-Driven – able to drive decisions and influence based on data.
Communicative – possess an ability to simplify complex concepts, explain AI technologies in ways that can be consumed by non-technical stakeholders

Inspiring and empowering – possess influencing skills and natural ability to build trust with machine learning engineers and data scientists
Sense of Urgency – bring an agile, let’s get things done attitude

We are assuming that you have  

• MS degree in computer science or related field.
• 4+ years’ experience in distributed systems, at least five in applied AI Infrastructure.
• Hands on experience in Java 11, Scala or Python in designing ETL pipelines.
• Experience with AWS technologies (Lambda, EMR, EC2, SQS and RDS etc)
• Hands on experience in tackling massive data sets with Yarn, Spark, Presto, Hive, Impala etc.

• Familiarity with key value stores and NoSQL databases like HBase, Cassandra, Hive etc.
• Experience with CI/CD using Jenkins.
• Familiarity with shell scripting using Bash or Zsh.
• Prior experience in leading and mentoring others.