Data Engineer

SUMMARY: We are a community of data scientists and engineers that work to improve the shopping experiences of our customers, both in-store and online. We leverage large volumes of data to develop powerful sciences using cutting edge machine learning, natural language processing, and mathematical techniques to improve products, processes, and systems that positively impact our customers.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

Strong organizational and project management skills

Python basic to intermediate

Azure cloud - basic

Databricks basic or ability to quickly learn how to work within Databricks

Jupyter notebooks basic to intermediate

Git version control basic to intermediate

Linux, basic comfortability to work on the command line

Ability to edit JSON files Good interpersonal and communication skills

1 or more years of experience working within a highly technical team

Key Responsibilities

Schedule and execute the templated jobs required to optimize pricing for each grocery category

Move data files from cloud environment to on-prem servers

Edit existing code, where necessary, to establish pricing specific business rules provided by Kroger stakeholders

Load data files into a Dash based interactive dashboard used by EPP and Kroger stakeholders to facilitate pricing optimization Running batch scripts

Collaborate with 84.51° EPP consultants to appropriately deploy pricing optimization solution within each scheduled grocery category; attend meetings, in-take business requirements, translate requirements to code, align on and complete action items

Adhere to stringent quality assurance and documentation standards (e.g., git, markdown, Confluence)