Description

You will maintain and improve data pipelines processing large-scale data through machine learning models. You own the stability and evolution of these systems.

Responsibilities

• Maintain and improve data pipelines used for processing large amounts of data through ML models.
• Implement system changes for business or regulatory requirements, ensuring thorough testing before production deployment.
• Supervise the operation of data pipelines used for reporting and experimentation and resolve issues as they arise.
• Create data and reports for regulatory purposes and adjust systems to accommodate changes in data scale and requirements.
• Proactively test existing systems to propose improvements and bug fixes.

Required Skills

• 5+ years of experience in software engineering.
• Experience with large-scale data processing and data engineering.
• Proficiency in Python.
• Experience with SQL.
• Experience building and maintaining large-scale data processing systems.
• Experience working alongside MLEs.
• Experience with parallel data processing.

Preferred Skills

• Familiarity with ML systems and data analysis.
• Prior experience at companies such as Meta, Google, Apple, Uber, or Netflix.

Key Skills

Education

ANY GRADUATE