Columbia Sportswear, Inc.:
Data Engineer Job in Burlington, VT
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Burlington, VT
Full-time | Information Technology
About the job
Columbia Sportswear Company is seeking a Data Engineer to join its Analytics Center of Excellence. The Analytics CoE is responsible for driving the culture of analytics as a core capability within the organization helping the business continue its path to data literacy. The team will deliver products at scale, in partnership with the Enterprise Information Management (EIM) team. The Analytics CoE will be working closely with business partners to identify opportunities and develop standardized analytical and scalable approaches.The Data Engineer, reporting to the Manager, Advanced Analytics, will support the delivery of innovative analytical solutions to help answer the organizations pressing challenges and opportunities. The successful candidate will have a deep understanding of complex organizational analytical and data needs to enable improvements in environment design, efficiency, controls and the overall user experience of enterprise data assets. This resource will lead activities that include: dimensional modeling, package creation, SQL script creation, stored procedure development, data lake and data warehouse development, integration services support and more.
Responsibilities
Collaborate with the Data Scientist and other members of the Analytics CoE in the creation of highly scalable data pipelines
Transform structured and unstructured data into a format that can be used for machine learning and analytics
Establish repeatable automated processes for building applications including testing, documenting, and deploying at scale
Participate in the broader Data Engineering community to leverage best practices and stay current with the latest techniques
Partner with the EIM team to ensure that all data products are production ready and running properly
Identify data quality issues and supportColumbia Sportswear CompanysData Governanceinitiativeby 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 anddelivering enterprise data assets
Requirements
Bachelors Degree required in Computer Science, Information Systems or a related field
Minimum 5 years of experience building data warehouses, data lakes and real-time analytics platforms
Direct experience working with Data Scientists and implementing machine learning models including large-scale data processing, data structure optimization and scaling
Proficiency with programming languages such as R, Python (polyglot a plus)
Expert in SQL and query optimization for data platforms such as Azure SQL DW, HDInsight, Teradata, SAP BW/HANA.
Expertindatabase concepts, including normalization, indexing, physical and logical modeling, creation of SQL queries and performance tuning
Familiarity with the Kimball methods of data warehousing techniques,standardsand best practices
Experience with visualization frameworks such as D3.js preferred
Sound judgment and decision-making, and the appropriate sense of urgency and is a self-starter
Experience with Microsoft Azure: Data factory, data lake and data warehouse a bonus
Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one for over 70 years, constantly working to perfect the art and enjoyment of the greater outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that offers them much more than just a paycheck.
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.
For US/CAN Postings Only:
At Columbia Sportswear Company (CSC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. CSC believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. All employment is decided on the basis of qualifications, merit, and business need.
Responsibilities
Collaborate with the Data Scientist and other members of the Analytics CoE in the creation of highly scalable data pipelines
Transform structured and unstructured data into a format that can be used for machine learning and analytics
Establish repeatable automated processes for building applications including testing, documenting, and deploying at scale
Participate in the broader Data Engineering community to leverage best practices and stay current with the latest techniques
Partner with the EIM team to ensure that all data products are production ready and running properly
Identify data quality issues and supportColumbia Sportswear CompanysData Governanceinitiativeby 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 anddelivering enterprise data assets
Requirements
Bachelors Degree required in Computer Science, Information Systems or a related field
Minimum 5 years of experience building data warehouses, data lakes and real-time analytics platforms
Direct experience working with Data Scientists and implementing machine learning models including large-scale data processing, data structure optimization and scaling
Proficiency with programming languages such as R, Python (polyglot a plus)
Expert in SQL and query optimization for data platforms such as Azure SQL DW, HDInsight, Teradata, SAP BW/HANA.
Expertindatabase concepts, including normalization, indexing, physical and logical modeling, creation of SQL queries and performance tuning
Familiarity with the Kimball methods of data warehousing techniques,standardsand best practices
Experience with visualization frameworks such as D3.js preferred
Sound judgment and decision-making, and the appropriate sense of urgency and is a self-starter
Experience with Microsoft Azure: Data factory, data lake and data warehouse a bonus
Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one for over 70 years, constantly working to perfect the art and enjoyment of the greater outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that offers them much more than just a paycheck.
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.
For US/CAN Postings Only:
At Columbia Sportswear Company (CSC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. CSC believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. All employment is decided on the basis of qualifications, merit, and business need.