We are a full stack data science company and a wholly owned subsidiary of The Kroger Company.  We own 10 Petabytes of data and collect 35+ Terabytes of new data each week sourced from 62 Million households.  As a member of our engineering team, you will use various cutting-edge technologies to develop applications that turn our data into actionable insights used to personalize the customer experience for shoppers at Kroger. We use agile development methodology bringing everyone into the planning process to build scalable enterprise applications.

What you’ll do
As a senior data engineer, you will have the opportunity to build solutions that ingest, store and distribute our big data to be consumed by data scientists and our products. Our data engineers use Python, Hadoop, PySpark, Hive, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.

Responsibilities
Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC.  This includes internal and external facing applications as well as process improvement activities:

  • Participate in design of and develop Cloud and Hadoop based solutions
  • Perform unit and integration testing
  • Participate in implementation of BI visualizations
  • Collaborate with architecture and lead engineers to ensure consistent development practices
  • Provide mentoring to junior engineers
  • Participate in retrospective reviews
  • Participate in the estimation process for new work and releases
  • Collaborate with other engineers to solve and bring new perspectives to complex problems
  • Drive improvements in people, practices, and procedures
  • Embrace new technologies and an ever-changing environment

Requirements:
Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree.

  • 5+ years proven ability of professional data development experience
  • 3+ years proven ability of developing with Hadoop/HDFS
  • 3+ years of experience with PySpark/Spark
  • Full understanding of ETL concepts
  • Exposure to VCS (Git, SVN)
  • Strong understanding of Agile Principles (Scrum)
  • Proficient with relational data modeling and/or data mesh principles

 Preferred Skills – Experience in the following

  • Experience developing with either Java or Python
  • Exposure to NoSQL (Mongo, Cassandra)
  • Exposure to Service Oriented Architecture
  • Exposure to cloud platforms (Azure/GCP/AWS)
  • Exposure to BI tooling e.g. Tableau, Power BI, Cognos
  • Continuous Integration/Continuous Delivery

 

 

 

 

 

 

 

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- P3066

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Demographic Questions

Together, we are stronger and can achieve more

At 84.51°, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51° associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work – embracing who they are and celebrating what they can become.

We continually strive to ensure 84.51° is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences they’ve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.

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