Description

The engineer in this role will be responsible for

Maintaining and improving several systems and pipelines that process large amounts of data through various types of ML models

Occasionally making changes to these systems either for business or for regulatory purposes, testing the outcome of the changes thoroughly, and landing them in production

Supervising healthy operation of data pipelines required for reporting and experimentation and fixing issues as they arise

Creating data and report for regulatory purposes few times a year, making appropriate system changes to accommodate to changes in data ask and the scale of the data

Proactively testing existing systems and proposing improvements and bug fixes

Occasionally present findings and progress to the team

Desired Skillets:
Must-haves:

Large-scale data processing aka data engineering

Parallel data processing

Python

Some form of SQL

Preferred

Familiarity with ML systems

Experience of data analysis

What kind of prior work experience desired

Experience at Meta would be preferred

Experience at similar companies such as Google, Apple, Uber, Netflix etc

Experience of building / maintaining large-data crunching systems

Experience of working with MLEs

Desired Skills and Experience

DATA PROCESSING

Education

ANY GRADUATE