Position Details
About this role
This role involves supervising and developing data pipelines and systems to support data science and machine learning projects within a logistics environment.
Key Responsibilities
- Supervises data engineering projects
- Develops data pipelines
- Performs ETL activities
- Supports data science initiatives
- Creates reusable data assets
Technical Overview
Technical environment includes programming in Python, Java, Scala, working with ETL tools, data warehousing, APIs, and data integration platforms.
Ideal Candidate
The ideal candidate is a senior data engineer with extensive experience in developing batch and real-time data pipelines, proficient in programming languages such as Python, Java, and Scala, with strong understanding of data lifecycle and warehousing solutions. They should have experience supporting data science and machine learning initiatives.
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 data pipelines or ETL tools, No programming experience in Python, Java, or Scala, No understanding of data lifecycle or warehousing
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