Description

You will design, develop, and maintain machine learning products and data pipelines.

Responsibilities

• Develop test plans and test cases based on requirements and existing PySpark, Informatica, and SSIS pipelines.
• Own the full-stack development process by writing production-ready, testable code.
• Design systems following architectural best practices with a focus on scalability, reliability, and performance.
• Conduct code reviews to ensure engineering best practices, compliance, and security standards.
• Analyze system failures and propose design changes to drive operational improvements.

Required Skills

• 10+ years of professional experience in software or machine learning engineering.
• Proficiency with PySpark for data pipeline development.
• Experience using Informatica for data integration.
• Hands-on experience with SSIS.
• Strong understanding of Machine Learning principles.
• Ability to design and implement comprehensive test cases.
• Experience adhering to software reliability engineering standards.
• Degree in any graduate field.

Key Skills

Education

Any Graduate