Data Engineer - Supply Chain

Multiple Locations
Required Experience: 0 year(s)
Employment Type: Full-Time
Salary Range: Not available
Posted 5 days ago
Job Description
As Columbia Sportswears Data Engineer you will be a member of the Supply Chain Analytics team with oversite of the design, development, testing, maintenance, and support of Columbias Supply Chain data assets. Here youll collaborate with various agile teams, providing technical design, development and analytical support for Columbias Supply Chain Analytics program.

You possess a deep understanding of complex organizational analytics and data needed to enable improvements in environment design, efficiency, controls and the overall user experience of enterprise data assets at Columbia. You will take the lead on activities that include: dimensional modeling, package creation, SQL script creation, stored procedure development, data lake and data warehouse development and integration services support. In addition to working closely the Supply Chain Analytics team, you will coordinate frequently with senior leadership, enterprise support organizations and Columbia end users.

You are an accomplished communicator with the ability to work across an organization to advance Columbias vision for information management and analytics. Your technical tool kit includes demonstrated prior experience and capabilities in business intelligence design, development and implementation. This background enables you to be conversant in the culture and changing landscape of information technology.

Responsibilities: Continuously deliver and improve prioritized data assets that enable the growth of Columbias global analytics, reporting and visualization solutions.
Design, build, test and maintain data integration, ETL processes and data management delivery within an global data lake and data warehouse environment within the Microsoft Azure Cloud Solutions.
Identify project risks and impediments, notify management, and proactively work with other members of the team to complete assigned tasks as defined by project scope, timelines, and budgets.
Identify data quality issues and support Columbias data governance initiative by participating in necessary activities including data profiling.
Participate in the use of Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions
Experience: Bachelors Degree in Computer Science, Information Systems or a related field preferred. An equivalent combination of education and experience may be considered.
8+ years of hands-on experience architecting, developing and/or managing the implementation of Business Intelligence solutions
4+ years experience with programming languages (e.g. Python, C#, JavaScript, DAX, R, .NET or Java) and visualization frameworks such as D3.js preferred.
Expert in SQL and query optimization for data platforms such as Azure SQL DW, HDInsight, Teradata, SAP BW/HANA.
Expert in database concepts, including normalization, indexing, physical and logical modeling, creation of SQL queries and performance tuning.
Familiarity with the Kimball methods of data warehousing techniques, standards and best practices.
Experience with large scale data processing, data structure optimization and scalability of algorithms a plus
Experience with Microsoft Azure: Data factory, data lake and data warehouse a bonus
Experience in Supply Chain Data sources preferred

This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.

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