Lead Data Engineer

2 days ago

Cincinnati, Ohio, United States 84.51° Full time
84.51° Overview

84.51° is a retail data science, insights, and media company that helps The Kroger Co., consumer packaged goods companies, agencies, publishers, and affiliates create personalized and valuable experiences for shoppers across the path to purchase.

Our company utilizes cutting-edge science and first-party retail data from over 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing, and our retail media advertising solution, Kroger Precision Marketing.

Job Summary

We are seeking a highly skilled Lead Data Engineer to join our team. As a Lead Data Engineer, you will have the opportunity to build and support solutions that ingest, store, and distribute our big data to be consumed by our products.

Our data engineers use Databricks, Terraform, PySpark, Python, Snowflake, and Angular, along with other data engineering technologies and visualization tools, while working alongside our data scientists to deliver data capabilities and services to customers, both internal and external.

Responsibilities
  • Take ownership of systems, processes, and the tech stack while driving features to completion through all phases of the entire 84.51° SDLC.
  • Lead the design of and develop Cloud-based solutions.
  • Perform unit and integration testing.
  • Participate in the implementation of BI visualizations.
  • Collaborate with Architecture, Data Scientists, Product, and other Lead Engineers to ensure consistent development practices.
  • Provide mentoring to junior engineers.
  • Partner closely with Product colleagues to inform strategy and roadmap decisions.
  • Participate in Agile rituals (Sprint Reviews, Stand-Ups, Retros, etc.).
  • 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 of proven ability in professional data development experience.
  • 3+ years of proven ability in developing within a data platform, with some experience in Databricks and Snowflake.
  • 3+ years of developing experience with either Java or Python.
  • Understanding and some experience with front-end development, preferably Angular.
  • Proficient in SQL.
  • Experience with PySpark/Spark/Airflow.
  • Cloud Native Architecture / ReUsable Capabilities (Microservices, Libraries, Engines).
  • Experience with (Azure/GCP/AWS) Cloud Platforms.
  • Experience with Terraform.
  • Test Driven Development.
Preferred Skills
  • Experience working with Unity Catalog.
  • Exposure to NoSQL (Mongo, Cassandra).
  • Exposure to Hadoop.
  • 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.
Important Information

This is a hybrid position. Candidates must be able to come into the office on Monday, Tuesday, and Wednesday of each week. We have locations in Cincinnati, OH, Chicago, IL, Deerfield, IL, New York, NY, and Portland, OR. There are no remote options for this position.

We are not working with Staffing Firms, Consulting Companies, or any other 3rd parties on this position. Full-time only. No contracts. No C2C.

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