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 Lead 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 Hadoop, PySpark, Airflow, Python, Hive, and other data engineering technologies and visualization tools, while working alongside our application developers 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 the design of and develop Cloud and Hadoop 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:
Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree.

5+ years proven ability of professional data development experience
3+ years proven ability of developing with Hadoop/HDFS
3+ years developing experience with either Java or Python
3+ years experience with PySpark/Spark
3+ years experience with Airflow
Full understanding of ETL concepts
Exposure to VCS (Git, SVN)
Strong understanding of Agile Principles (Scrum)

Preferred Skills – Experience in the following

Exposure to NoSQL (Mongo, Cassandra)
Exposure to Service Oriented Architecture
Exposure to cloud platforms (Azure/GCP/AWS)
Exposure to BI tooling e.g Tableau, PowerBI, Cognos
Proficient with relational data modeling and/or data mesh principles
Continuous Integration/Continuous Delivery

#LI-REMOTE #LI-DOLF