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 include designing, developing, and maintaining data pipelines using BigQuery and Dataflow.
You will build and manage MLOps workflows to support machine learning models.
The role involves architecting and implementing serverless data solutions using JavaScript and Python.
You will ensure data quality, integrity, and governance across platforms.
Collaboration with cross-functional teams to support analytics, reporting, and operational insights is essential.
You will provide technical leadership and mentor junior engineers.
Staying up to date with emerging data engineering and cloud technologies is expected.

Requirements:

Candidates must have 5+ years of experience in data engineering, preferably in supply chain or logistics.
Expertise in Google Cloud Platform (GCP), especially BigQuery and Dataflow, is required.
Proficiency in Python and JavaScript for serverless data processing is necessary.
Experience with MLOps and deploying machine learning models is essential.
A strong knowledge of ETL/ELT processes, data modeling, and orchestration is required.
Excellent problem-solving skills and the ability to work in a fast-paced environment are necessary.