Data Engineer
Description For Data Engineer
We are seeking a Senior Data Engineer to join our team at Portless, focusing on driving data infrastructure and analytics in supply chain and logistics operations. The role involves designing and implementing scalable data pipelines, optimizing data processing, and ensuring seamless data integration across systems. You'll work with cutting-edge technologies like BigQuery, Dataflow, and MLOps workflows while using Python and JavaScript for serverless solutions. The position offers opportunities for technical leadership and mentoring, with a focus on maintaining data quality and governance. The ideal candidate brings 5+ years of data engineering experience, strong expertise in GCP, and a deep understanding of ETL/ELT processes. Working in a fast-paced environment, you'll collaborate with cross-functional teams to deliver analytics and operational insights. The role offers the flexibility of remote work and paid time off, making it an excellent opportunity for experienced data engineers looking to make an impact in the supply chain and logistics sector.
Responsibilities For Data Engineer
- 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
Requirements For Data Engineer
- 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
- Experience with real-time data processing and streaming technologies (Nice to have)
- Familiarity with CI/CD for data pipelines and infrastructure as code (Nice to have)
- Understanding of supply chain and logistics data structures (Nice to have)
Benefits For Data Engineer
- Paid Time Off
- Work From Home
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