Data Warehouse Engineer

Description

Responsibilities Thoroughly and quickly analyze business requirements for reporting and analysis, and translate them into a good technical data design.
Partner with Product Owners to refine the business requirements that must be met for building and maintaining the Enterprise Data Warehouse.
Provide expertise in data profiling.
Translate business requirements into conceptual, logical, and physical data models.
Develop and maintain acceptance tests per requirements.
Support, develop and maintain technical specification documentation.
Constantly strive to improve data accuracy and organization.
Focus on reducing redundancy of data within the Enterprise Data Warehouse.
Necessary Skills Ability to manage time and multitask.
Strong interpersonal communication skills (written and verbal).
Proven ability to learn new concepts, tools, languages and techniques quickly.
Excel in fastpaced, resultsoriented environment.
Thrive in a highly collaborative work setting.
Preferred Experience Strong background with data warehousing and reporting architectures, dimensional modeling (Kimball).
Familiarity with Agile methodologies.
Experience collaborating and gathering requirements from both technical and businessfacing teams.
Proficiency in at least one ETL toolset (ideally, SSIS), with experience creating and maintaining data in an Enterprise Data Warehouse environment.
Experience using Microsoft SQL Server DBMS.
Familiarity and experience with ERWIN or similar data modeling software.
Working knowledge of common data visualization/reporting tools (Tableau, Power Pivot, tabular cubes, etc.).
Experience with Team Foundation Services or other change management software.