Nike Enterprise Data Engineer in Boston, Massachusetts
Bachelor's degree in Information Systems, Information Technology or Computer Science.
Minimum 5 years of work experience in platform engineering, ETL/data modeling, or analytics engineering development
Experience with cloud-based data architecture and tool stacks; AWS stack experience a plus
Expert level SQL; Experience with Python data science and data engineering libraries; Proven track record dealing with structured and unstructured data
Experience working with a variety of database types (SQL/NoSQL, columnar, object-oriented) and diverse data formats
Experience doing ETL with Spark and building data pipelines/orchestrations in Airflow a plus. Familiarity with ETL tools like Matillion
Software development skills; Familiarity with DevOps toolchain and CICD
Experience with data engineering for advanced analytics/data science use cases a definite plus
Experience working with manufacturing/retail data a definite plus
Proven track record of leading data integrity/QA, with an exceptional attention to detail
Proven ability to speak both business and technology, and effectively liaison with both teams
Converse is setting a bold strategic vision to lead with digital to connect the marketplace by positioning converse.com as the first and best source for authentic Converse products and experiences. To ensure weâre exceeding the mark, weâve build a best in class analytics platform. As a key player of the Global Digital Analytics team, the Digital Data Engineering Sr Analyst will help build out and maintain the data foundation of this platform. This role will combine a unique blend of data engineering with an aptitude for platform/system architecture & business intelligence/advanced analytics, to ensure our analytics evolve at the speed of our consumers.
You are obsessed with data. You are results oriented and you play well with others. You understand how raw data points come together to drive business insight. You take data integrity personally.
Development of data extracts and feeds from the full spectrum of systems in the Converse ecosystem, including transactional ERP systems, POS data, product and merchandising systems, etc.
Engineering data products for a variety of Operations analytics use cases, ranging from reporting and data visualization to advanced analytics/machine learning use cases
Supports designing technical specifications & data transformation models for junior developers
Ensures developments is on track and meets specifications as defined by product management and the business
Responsible for data integrity of current platform and QA of new releases
Supports the development and maintenance of backlog items and solution feature; participates in sprint planning activities from a development perspective.
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.
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