Description

You will maintain and improve data pipelines that process large-scale datasets through machine learning models. You will own the reliability of these systems, implement regulatory changes, and resolve production issues.

Responsibilities

• Maintain and improve data pipelines processing large volumes of data through ML models.
• Implement system changes for business or regulatory requirements and test outcomes before production deployment.
• Supervise data pipeline operations for reporting and experimentation, resolving issues as they arise.
• Generate data and reports for regulatory purposes and adjust systems to accommodate changes in data scale.
• 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 with parallel data processing.
• Ability to present technical findings and progress to the team.
• Degree in any field of study.

Key Skills

Education

ANY GRADUATE