Analytics Data Engineer (BI/Fabric)

Job summary

Description: POSITION SUMMARY The Analytics Data Engineer (BI/Fabric) will own the technical evolution of our global analytics environment. Reporting to the Globa Senior Manager of Business Intelligence, you will aid in the administration of our Microsoft Fabric ecosystem—leveraging ETL functions to produce a high-performance business-ready data framework.

Qualifications

• ESSENTIAL
• AND EXPERIENCE
• Required:
• Bachelor’s Degree in related field or equivalent/higher.
• 2-4 years of experience in data engineering, analytics, or comparable fields.
• Mastery of T-SQL for warehouse management and complex data modeling (DDL and DML required, DQL preferred).
• Functional knowledge of DAX for Semantic Modeling.
• Experience connecting to and extracting data from REST/SOAP APIs via Data Factory objects and/or PySpark.
• Functional knowledge of PySpark/Python.
• Familiarity with the Fabric Ecosystem, specifically an understanding of Lakehouses, Data Warehouses, and Semantic Models.
• General understanding of Star Schema design in support of BI reporting.
• Knowledgeable with Power Query / Dataflows / Data Pipelines.

Responsibilities

• Reporting to the Globa Senior Manager of Business Intelligence, you will aid in the administration of our Microsoft Fabric ecosystem—leveraging ETL functions to produce a high-performance business-ready data framework.
• This position has no supervisory
• for this role.
• Manage data warehouses and lakehouses in MS Fabric.
• Develop data pipelines using Data Factory objects and PySpark in MS Fabric.
• Administrate Fabric workspace access and connections.
• Design and implement automated data freshness and monitoring for pipeline failures and data latency.
• Write enduring and adjustable SQL while navigating a complex database.
• Work with a variety of partners such as Sales, Marketing, Events, Recognition, etc.
• Assist in production and maintenance of a flexible library of Semantic Models ready for visualization and analysis.
• Assist in defining and enforcing data naming conventions and workspace folder structures to ensure a scalable Global BI self-service environment.
• Support defining, documenting, and enforcing a business ready data dictionary.

Skills

Degrees

Languages

Industry

Contract length