SummaryAs a Data Engineer 2 on the Insights Delivery Team, you will play a crucial role in delivering data and insights that enable Nordstrom's data analysts, data scientists, leadership, store personnel, and other business users to drive critical customer experiences. You will design and develop scalable software applications, services, data pipelines, and database solutions, applying scientific, mathematical, and social principles to deliver on Nordstrom's strategic visions.
Responsibilities- Design and develop scalable and durable data analytical solutions using in-house and modern technologies in an agile environment.
- Understand the specific needs of a major line of business and the related set of applications, systems, or functions.
- Design interaction between multiple modules and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud.
- Own responsibility for code reviews and drive accountability in following software engineering principles.
- Build testing tools and CI/CD pipeline to reduce automation friction and speed up the path to business outcomes.
- Identify data performance issues and optimize solutions.
- Perform on-going production support and on-call support duties, working with both onsite and offshore resources.
- Collaborate with product managers, data analysts, data scientists, business partners, and other tech teams.
- Partner with analyst stakeholders to deliver highly effective self-service BI solutions.
Requirements- 3+ years of experience in at least one modern programming language such as Java or Python.
- 2+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions.
- Experience with cloud environments such as AWS or GCP.
- Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, or Airflow.
- Bachelor’s or Master's degree in Computer Science, Engineering, or equivalent practical experience.
- Passion for innovative technologies, operational excellence, and customer impact.
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