Regular Java Engineer Offline

Project Description

Why is Nordstrom one of the greatest? Founded in 1901, it prospered through two world wars, Spanish flu, Great Depression, the 2020 pandemic and still produces the highest quality products and service for their customers.

Nordstrom is based in Seattle with a technology orientation rooted in Silicon Valley. You will work with the cleverest minds, who are eager to build superb services to match business requirements and win market share.

And then there's Zoolatech! Just imagine a workplace and a team environment that you never want to leave once you have found it. Sound enticing? Apply to our position today and we can get you there.

Speaking about the core of Nordstrom analytics, Nordstrom Data Technology is pivotal to the Nordstrom customer experience. As a Java Engineer, you will own the design and build the next generation of the Nordstrom Data & Analytical Services and deliver on the strategic vision of Customer-focused features and services to enhance “The Nordstrom Customer Service Excellence”.

A Java Engineer is a key part of Nordstrom Technology team that applies scientific, mathematical, and social principles to design, build, and maintain technology products, devices, systems, and solutions.

These engineers will be developing and improving data ingest into the Nordstrom Data & Analytical Services to enhance our vertical business analytics and KPI development focused on the Supply Chain development backlog.

Your are perfect candidate if you have an experience in data transformation and modeling.

Technologies used on the project: Java, Kafka, Spark, Airflow, Hadoop cluster, AWS, TeraData, Tableau

Responsibilities

• Write clean, maintainable code, perform peer code-reviews

• Be responsible for arch design, writing code, testing, deployment and support of the application

• Partner with team on finding new ways to solve technical and business problems

• Eager to learn new languages and technologies

• Production support activities

Skills Required

Must have:

- 2+ years with Java

- Basic working experience with Kafka/any stream-based knowledge

- Hands-on experience with AWS (EC2, Lambda, DynamoDB, S3...)

- Experience with Docker, Kubernetes, CI/CD, monitoring/alerting

- Experience with system design, architecture, scaling, and performance testing

- Strong SQL

- Good written and spoken English

Nice to have:

- Classical Data Warehouse, Data structures, Data marked, Data profiling

- Experience with Spark, Scala or Python