About Us
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 Lead Data Engineer, you will cultivate strategies and solutions to ingest, store and distribute our big data. 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:

• Lead design of Hadoop and SQL based solutions
• Perform development of Hadoop and SQL based solutions
• Execute unit and integration testing
• Collaborate with senior resources to ensure consistent development practices
• Provide mentoring to junior resources
• Bring new perspectives to problems and be driven to improve yourself and the way things are done

Requirements

• 5+ years proven ability of professional Data Development experience
• 5+ years proven ability of developing with Hadoop/HDFS and SQL (Oracle, SQL Server)
• 3+ years of experience with PySpark/Spark
• 3+ years of experience developing with either Python, Java, or Scala 
• 1+ years of experience with Databricks 
• Full understanding of ETL concepts and Data Warehousing concepts
• Exposure to VCS (Git, SVN)
• Strong 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)
• 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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