Data Engineer
- Portless
Job Description
We are seeking a Senior Data Engineer to drive data infrastructure and analytics in our supply chain and logistics operations. You will design and implement scalable data pipelines, optimize data processing, and ensure seamless data integration across systems.
Key Responsibilities
Design, develop, and maintain data pipelines using BigQuery and Dataflow.
Build and manage MLOps workflows to support machine learning models.
Architect and implement serverless data solutions using JavaScript and Python.
Ensure data quality, integrity, and governance across platforms.
Collaborate with cross-functional teams to support analytics, reporting, and operational insights.
Provide technical leadership and mentor junior engineers.
Stay up to date with emerging data engineering and cloud technologies.
Qualifications
5+ years of experience in data engineering, preferably in supply chain or logistics.
Expertise in Google Cloud Platform (GCP), especially BigQuery and Dataflow.
Proficiency in Python and JavaScript for serverless data processing.
Experience with MLOps and deploying machine learning models.
Strong knowledge of ETL/ELT processes, data modeling, and orchestration.
Excellent problem-solving skills and ability to work in a fast-paced environment.
Nice to have
Experience with real-time data processing and streaming technologies.
Familiarity with CI/CD for data pipelines and infrastructure as code.
Understanding of supply chain and logistics data structures.
Benefits
- Paid Time Off
- Work From Home
