Job Description :

Position: Azure Data Engineer

Location: Remote then Chicago OR Cincinnati

Contract: 1 year +

Job Description

This contractor can sit in Chicago OR Cincinnati once the offices reopen.

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 software 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.

What you'll do:

As a Senior Data Engineer, you are part of the software development team. We develop strategies and solutions to ingest, store, and distribute our big data. Our developers use Big Data technologies including (but not limited to) Hadoop, PySpark, Hive, JSON, and SQL to develop products, tools and software features.


Take ownership of features and drive them to completion through all phases of the entire 84.51 SDLC. This includes external facing and internal applications as well as process improvement activities such as:
Participate in design of Big Data platforms and SQL based solutions
Perform development of Big Data platforms and SQL based solutions
Perform unit and integration testing
Partner with senior resources, gaining insights
Participate in retrospective reviews
Participate in the estimation process for new work and releases
Be driven to improve yourself and the way things are done

Minimum Skills Required:

Bachelor's degree (typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program), plus 2 years of experience
Proven Big Data technology development experience including Hadoop, Spark (PySpark), and Hive
Understanding of Agile Principles (Scrum)
Experience developing with Python
Cloud Development (Azure)
Exposure to VCS (Git, SVN)

Position Specific Skill Preferences:

Experience in the following:
Experience developing with SQL (Oracle, SQL Server)
Exposure to NoSQL (Mongo, Cassandra)
Apache NiFi


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