Senior Bigdata Engineer

  • Overview

    NAP (Nordstrom Analytical Platform) is an ecosystem, which integrates business events from the various source system, schematize them into object model and persist them in a query-able profile data structure.

    We are responsible for developing and building Analytical and Reporting solutions, Provide data to internal applications and external vendors, and partner with the Business and Data Science teams to improve business performance.

  • Responsibilities

    A day in the life of an Engineer on the team...

    · Design, develop, test, and debug large scale complex platform using big data technologies

    · Create high-performance Nordstrom data analytics platform

    · Possesses deep proficiency in engineering best practices

    · Support the development and evolution of Biddata platform and data warehouse

    · Partner with other Technology teams, Program, and Product 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

    · Take part in the production support

  • We Require

    Must have:

    • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
    • One or more of the following data processing technologies: Hadoop Map Reduce, Spark, Kafka Streams, Flink, Storm, Apache Beam
    • Good object-oriented design and development skills
    • Some Experience with Kafka, Presto, Hive, Impala or similar SQL based engine for Big Data
    • Some experience with at least one of Java, Scala, Python, JavaScript, or other modern language stack

    Nice to have:

    1. Cloud Experience

    2. Kubernetes Experience

    3. Understanding of automation and orchestration platforms such as Airflow

    4. Understanding of various data formats such as JSON, Parquet, Avro, ORC

    5. Good SQL writing skills

    6. Good DW experience

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