Position: Data engineer
Company: Zoolatech
Category: Data Science
Experience required: 3y
English level: upper

Project Description
We are looking for a passionate Data Engineer who would like to work with a top-notch technology stack in a friendly and cozy atmosphere for one of the greatest retail companies in the USA.

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 Data Engineer you will own the design and build the next generation of the Nordstrom Analytics Platform and deliver on the strategic vision of Customer focused features and services to enhance “The Nordstrom Customer Service Excellence”.

A Data 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.
Your are perfect candidate if you have an experience in data transformation and modeling.

These are the technologies used in our project: Java, Spark, Kafka, Hadoop cluster, AWS, TeraData, Tableau

Responsibilities
- Support the development and evolution of our data warehouse and BI platform.
- Partner with the BI Manager, Data and BI Engineers, Program Managers and Analysts on building a best-in-class suite of tools and reporting mechanisms to bring the most salient, insightful data more directly into key business functions.
- Design and implement modernized ETL and data processing solutions through modernized cloud-based solutions (S3, Redshift, etc) and deprecate legacy on-premise solutions (Oracle, etc)
- Develop data integration solutions leveraging multiple disparate sources.
- Continual performance tuning and capacity planning for future growth potential.
- Integrates broad working knowledge in related disciplines to create integrated technical innovations/ solutions for complex business situations

Skills Required
Must have:
- Classical Data Warehouse, Data structures, Data marked, Data profiling
- 3+ years of experience writing advanced SQL
- Experience with one of Java, Python or Scala
- Experience with ETL


Nice to have:
- Cloud Computing Experience (e.g AWS, Azure)
- Experience with Spark with Scala
- Experience with Hadoop