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 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

• Participate in the development of Hadoop and Cloud-based solutions
• Perform unit and integration testing
• Participate in implementation of BI visualizations
• Collaborate with architecture and lead engineers to ensure consistent development practices
• 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

• Data Development experience
• Experience with Hadoop/HDFS and SQL (Oracle, SQL Server)
• Experience with PySpark/Spark
• Experience developing with either Python, Java, or Scala 
• Understanding of ETL concepts and Data Warehousing concepts
• Exposure to VCS (Git, SVN)
• Understanding of Agile Principles (Scrum)
• Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

 Preferred Skills – Experience in the following

• Experience with Azure 
• Exposure to NoSQL (Mongo, Cassandra)
• Experience with Databricks
• Exposure to Service Oriented Architecture
• Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.) 
• Proficient with Relational Data Modeling and/or Data Mesh principles
• Experience with CI/CD - Continuous Integration/Continuous Delivery

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- P1969 / Owen Wells