Position Details
About this role
Build and optimize scalable data pipelines and data architecture on Azure, enabling data-driven decision making in logistics operations.
Key Responsibilities
- Design data pipelines
- Build data models
- Optimize data platform
- Ensure data governance
- Collaborate with stakeholders
Technical Overview
Focus on cloud data engineering using Azure Data Factory, Databricks, dbt, and data modeling techniques like Data Vault and Kimball.
Ideal Candidate
The ideal candidate is a data engineer with 3+ years experience in building scalable data pipelines on Azure, proficient in SQL and Python, with knowledge of data modeling techniques like Data Vault and Kimball. They are analytical, solution-focused, and collaborative.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Azure Data Factory or Databricks, No knowledge of Data Vault or Kimball modeling, Less than 3 years of data engineering experience, No experience with CI/CD pipelines
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