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    Data Engineer 2 - Colorado Springs, United States - Ask Staffing

    Ask Staffing
    Ask Staffing Colorado Springs, United States

    3 weeks ago

    Default job background
    Description

    A few years 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 Credit Data & Systems Support team (CDSS) supports operational and analytical functionality to drive Nordstrom Credit business. This opportunity also provides various avenues to collaborate and influence several other platforms within Nordstrom and has a company-wide impact. Data Analytics is a strategic focus area for the company.

    As a Data Engineer you will be working on delivering the strategic vision of Credit Data & Systems Support team (CDSS) utilizing modern data platforms such as our Nordstrom Analytical Platform (NAP) and others. You will focus on the design and development of scalable solutions, with the aim to replace legacy architecture and question status quo. The ideal candidate is creative, customer-driven and has a passion for data products.

    Read this first: We encourage you to apply even if you do not meet all of the qualifications, but feel you would be a good fit for the position. Nordstrom is an equal opportunity employer. We are building a diverse, inclusive workforce and hope you will join us

    Skills

    A day in the life...

    • Designs and develops analytical solutions using in-house and modern technologies for business.

    • Collaborate with technical program management, data analysts, data scientist and business partners to build scalable and durable solutions that drive business outcomes and reduce friction and time to delivery for our users.

    • Collaborate and partner with other tech teams and contribute at team level.

    • Understands the architecture and network principles to be followed.

    • Able to understand data concepts, data models, data structures and adhere to data principles.

    • Design and develop data processing pipelines using Spark, Flink, Kafka, Presto, etc.

    • Work autonomously and closely with other team members.

    • Demonstrate knowledge of information technology concepts issues, trends and best practices as they relate to the discipline/practice

    • Demonstrate knowledge of specific needs of a major line of business and the related set of applications, systems or functions

    • Owns responsibility of code reviews and drives accountability in following software engineering principles.

    • Follows and maintains good data ecosystem principles, quality and security while building data solutions.

    • Understanding of CI/CD pipeline, Test coverage, and unit testing

    Education:

    We'd love it if you have...

    • 4 years of professional experience in practice area

    • 4 years of experience in at least one modern programming language (e.g. Java, Python, Scala)

    • 3 years of experience with Databases, SQL, data modeling, data mining, and automated engineering solutions.

    • Experience with cloud environments (AWS or other equivalent cloud providers)

    • Experience with distributed systems (Kubernetes, AWS EMR, etc.)

    • Experience in developing near real-time data processing solutions using Kafka, Flink, Spark Streaming

    • Experience with Spring boot framework

    • Strive to deliver results, make quality technical decisions, manage complexity, and drive a vision while being customer focus.

    • Experience with standard industry practices for engineering and operational excellence

    • Bachelor's or master's degree in CS, Engineering or equivalent practical experience

    Additional preferred skills include:

    • Microsoft SQL Server Administration
    • Microsoft SSIS management - development through gitlab and deployment to SQL Servers
    • Project Managment skills & experience to successfully track complex projects
    Skills

    Required
    • JAVA
    • SCALA
    • KAFKA
    • DATA MINING
    • DATA MODELING
    Additional
    • SQL
    • SERVER ADMINISTRATION
    • PYTHON
    • STREAMING
    • CUSTOMER SERVICE
    • RETAIL SALES
    • AMAZON WEB SERVICES
    • UNIT TESTING
    • DEPLOYMENT
    • SPRING BOOT
    • EMR
    • DISTRIBUTED SYSTEMS
    • REAL-TIME
    • FINANCIAL PROJECT MANAGEMENT
    • CONTINUOUS INTEGRATION/DELIVERY
    • SYSTEMS SUPPORT
    • DATABASE MODELING
    • MS SQL SERVER
    • DATA ANALYTICS
    • CUSTOMER SERVICE ORIENTED
    • GITLAB
    • INVENTORY
    • KUBERNETES
    • LOGISTICS
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