Description

Own the design and implementation of data modernization initiatives, working directly with developers to build scalable pipelines and services.

This role is hybrid.

Responsibilities

• Develop and maintain data pipelines using Python, PySpark, and Kafka for stream processing.
• Lead containerization efforts and manage cloud onboarding for new services.
• Drive the adoption of GitLab CI/CD, M1 pipelines, and release automation tools.
• Implement modern testing practices and champion event-driven design standards using Kafka.
• Collaborate with development teams to ensure robust design and implementation of engineering solutions.

Required Skills

• 8+ years of experience in software or data engineering.
• Strong proficiency in Python.
• Hands-on experience with PySpark and stream processing.
• Deep understanding of Apache Kafka and event-driven architectures.
• Experience with GitLab CI/CD and release automation.
• Proficiency in containerization technologies (e.g., Docker, Kubernetes).
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree