Data Engineer III Senior Analytics at Expeditors
Overview
Lead the design and implementation of enterprise analytics solutions to drive data‑driven decisions across 70+ offices globally. Own the creation of scalable data models semantic layers and reporting datasets that empower operational reporting and executive dashboards. This role blends technical leadership with cross‑functional collaboration to transform business requirements into robust analytical platforms.
What You'll Do5
- 1Lead the development of enterprise data models semantic layers and reporting datasets that provide trusted scalable business insights.
- 2Establish best practices for data quality testing automation observability version control and CI/CD across analytics solutions.
- 3Architect scalable data models reporting architecture and analytics solutions aligned with enterprise engineering principles.
- 4Collaborate with engineering architecture product and business teams to ensure solutions meet metric governance and semantic modeling standards.
- 5Mentor engineers through coaching knowledge sharing and constructive technical feedback to promote engineering excellence.
Requirements5
- 1Minimum 5+ years building ETL pipelines with Spark and Airflow for large scale data processing.
- 2Advanced proficiency in designing and optimizing enterprise data models semantic layers and reporting datasets using Microsoft Fabric Databricks SQL and Python.
- 3Proven experience with data governance privacy regulations and secure analytics solutions.
- 4Expert level skills in writing and troubleshooting complex SQL queries across multiple databases.
- 5Certifications such as Databricks Data Engineer Professional Power BI Data Analyst or Azure Solutions Architect Expert.
Salary Insight
$130 - $170k per year
Location
Required Skills
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