Expeditors' Customer Experience Portfolio is focused on delivering value to customers via EXP.O NOW, a visionary, industry-leading platform that is the place to go to do business with Expeditors. Our objective is providing a seamless digital experience that connects our customers to their goods, providing a powerful tool to support strategic business decisions.
Requirements
- 3-5 years of experience in data transformation, data modeling, and analytics engineering
- Strong experience with SQL and query optimization across multiple databases
- Proficiency in Python for data processing and automation
- Experience with Azure cloud-based data solutions, including Synapse and Data Fabric
- Hands-on experience with ETL/ELT frameworks and workflow automation tools
- Strong understanding of data modeling and schema design for analytics and reporting
- Hands-on experience migrating on-prem data pipelines to the cloud, including strategy, execution, and optimization
Responsibilities
- Design and develop data models to support BI and analytics, focusing on performance and scalability
- Build and maintain data pipelines that transform raw data into clean, usable data sets
- Perform data transformations using SQL and scripting languages (e.g., Python)
- Collaborate with data engineers to ensure data availability and integrity
- Validate data outputs for accuracy and consistency through rigorous testing
- Implement data quality checks and maintain data documentation
- Support BI tools (e.g., Power BI) by building efficient data models that enhance performance
Other
- Demonstrate a strong problem-solving mindset with a focus on continuous improvement
- Effectively communicate technical concepts to non-technical stakeholders
- Proactively collaborate with cross-functional teams
- Continuously learn and adapt to emerging data technologies and best practices
- Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.
