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Data Engineer Level 3

In Illinois / United States

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Data Engineer Level 3   

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JOB TITLE:

Data Engineer Level 3

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Chicago Illinois / United States

JOB DESCRIPTION:

Job Title: Data Engineer Level 3

Location: Chicago, IL

Duration: 6-12+ months initially

POSITION SUMMARY

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.

Responsibilities:

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

Airflow

Docker

Position Details

POSTED:

Sep 05, 2021

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S1617465798246414

LOCATION:

Illinois / United States

CITY:

Chicago

Job Origin:

CEIPAL_ORGANIC_FEED

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In Dallas Fort Worth
Aug 19, 2017 9am-6pm
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Data Engineer Level 3    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Job Title: Data Engineer Level 3

Location: Chicago, IL

Duration: 6-12+ months initially

POSITION SUMMARY

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.

Responsibilities:

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

Airflow

Docker


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