Description

You will design and implement data products to support data science, machine learning, and deep learning applications in both batch and real-time environments.

Responsibilities

• Design and execute architectures for moderately sophisticated data products.
• Develop scalable, resilient coding methodologies and software designs.
• Collaborate with technical teams to solve complex problems and build unique solutions.
• Mentor team members and guide the design of testable and observable software.
• Apply professional software engineering practices across the full development lifecycle, including code reviews, source control, build processes, testing, and operations.

Required Skills

• 7+ years of professional experience in data modeling, design patterns, and data access models (APIs, streams, data lakes).
• Strong background in Java development.
• Proficiency in Python, Scala, and SQL.
• Hands-on experience with AWS infrastructure.
• Proven experience building data products for batch and real-time DS/ML/Deep Learning applications.
• Ability to design, communicate, and execute data architectures autonomously.
• Understanding of testing and monitoring tools and technologies.

Preferred Skills

• Experience with Amazon SageMaker, feature stores, or dashboards.
• Knowledge of BI, reporting, and analytics.

Key Skills

Education

Any Graduate