Senior Data Engineer @ 84.51 Degrees

Senior Data Engineer

P465

Posted on 2/25/2023

INACTIVE

Locations

Northbrook, IL, USA • Remote • Chicago, IL, USA • Portland, OR...

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Agile

Apache Hive

Apache Spark

Data Science

Hadoop

Business Analytics

Git

Java

Microsoft Azure

MongoDB

Oracle

SQL

Tableau

Python

NoSQL

Power BI

Requirements

5+ years proven ability of professional Data Development experience
3+ 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
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)
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

Responsibilities

84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase
Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing
Join us at 84.51°!
__________________________________________________________
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:

84.51° Overview:

84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

__________________________________________________________

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 and 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
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

5+ years proven ability of professional Data Development experience
3+ 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
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)
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

#LI-DOLF #LI-REMOTE

Website

Retail data science, insights, and media platform