Full Job Description
Nearly a year ago, we began our journey to transform our approach to data and analytics from a batch-centric platform with siloed data marts, to our Nordstrom Analytical Platform (NAP), a real-time, event-streaming-centric, analytical platform that provides high quality, pre-stitched 360 views of our customers, products, inventory, customer service, fulfilment/logistics, and credit. The Marketing Data Engineering team delivers customer and marketing data to Data Scientists and Analysts that can be leveraged for machine learning, customer segmentation, business insights, and audience selection.
Over the next year we will be focused on data integration across all Nordstrom brands to create a holistic view of the customer, enabling us to personalize their experience and engagement with Nordstrom to reflect their unique preferences and style. Delivering real-time data will be central to ensuring that they receive only the most relevant information and have a seamless online and offline experience.
A day in the life…
Design and develop distributed data processing pipelines in the Big Data ecosystem using Spark, Flink, Kafka, Hive, Hbase, Presto, etc.
Lead projects across a global team
Collaborate with technical program management, analytics, and marketing business partners to build scalable and durable solutions that drive business outcomes
Build data products that reduce friction and time to delivery for Data Scientists and Analysts
Design, communicate, and execute end-end solutions
Continuously improve upon existing processes and solutions
Ongoing production support of marketing data products
Serve as mentor to other engineers
You own this if you have…
5+ years of professional experience
5+ years of experience in at least one programming language (e.g. Python, Java, Scala)
5+ years of experience with MPP Databases, SQL, data modeling, data mining, and automated engineering solutions.
Experience with distributed systems (Spark, AWS EMR etc)
Experience with cloud environments (AWS or Azure)
Experience in developing near real-time data processing solutions using Kafka, Flink, Spark Streaming (preferred)
Bachelor's in Computer Science, Engineering, or equivalent practical experience (Master’s preferred)
We’ve got you covered…
Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...
The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com .
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