What are the responsibilities and job description for the Data Engineer Supply Chain Logistics position at Rapidflow Inc.?
Job Details
Data Engineer Supply Chain Logistics (Austin, TX)
We are looking for an experienced Data Engineer to join our team in Austin, TX. The role involves designing and maintaining scalable data pipelines and architectures to support supply chain logistics operations. The ideal candidate will have expertise in programming, infrastructure management, and modern MLOps tools to optimize data flows and enable data-driven decision-making.
Key Responsibilities:
- Data Pipeline Development: Design, implement, and maintain efficient and scalable data pipelines to support logistics operations.
- Data Integrity: Ensure accuracy and consistency in data architecture and flows.
- Cross-Functional Collaboration: Work closely with teams to understand data requirements and provide solutions to enable decision-making.
- Infrastructure Management: Manage infrastructure on Google Cloud Platform (Google Cloud Platform) for reliable data operations.
- MLOps Tools: Utilize tools like Kubeflow, MLflow, or similar for model deployment and monitoring.
- Data Orchestration: Leverage tools like Apache Airflow or Google Cloud Composer for workflow automation.
Required Skills & Experience:
- Proficiency in Python, Scala, and SQL for data engineering.
- Hands-on experience with MLOps tools (e.g., Kubeflow, MLflow).
- Strong understanding of Google Cloud Platform infrastructure for data management.
- Knowledge of data orchestration tools like Apache Airflow or Google Cloud Composer.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
