Description

You will design, deploy, and manage scalable data processing solutions in a cloud-native environment. You will build robust data pipelines and maintain microservices APIs for data ingestion and processing.

This role is hybrid.

Responsibilities

• Design and deploy scalable data processing solutions using cloud-native architecture.
• Build and manage data pipelines in collaboration with data scientists and software engineers.
• Develop and maintain microservices APIs for data ingestion and processing.
• Ensure the performance and reliability of analytics platforms.

Required Skills

• 5+ years of experience in Python and PySpark development.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in Big Data technologies and processing frameworks.
• Experience developing and managing Microservices APIs.
• Proficiency with Spark.
• Familiarity with Cloud Engineering practices.
• Must be local to Charlotte, NC.

Preferred Skills

• Experience with RedHat OpenShift.
• Experience integrating AI into data solutions.
• Familiarity with Banking or Financial Services domains.

Key Skills

Education

Any Gradute