Senior Data Engineer @ 84.51 Degrees

84.51° Overview:

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

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

Join us at 84.51°!

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As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our big data to be consumed by data scientists and our products.

Our data engineers use PySpark/Python, Databricks, Hadoop, 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 the design and development of Databricks and Cloud-based solutions.
Implement automated unit and integration testing.
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 data engineering practices, procedures, and ways of working.
Embrace new technologies and an ever-changing environment.

Requirements

4+ years proven ability of professional Data Development experience
3+ years proven ability of developing with Databricks or Hadoop/HDFS
3+ years of experience with PySpark/Spark
3+ years of experience with SQL
3+ years of experience developing with either Python, Java, or Scala
Full understanding of ETL concepts and Data Warehousing concepts
Experience with CI/CD
Experience with version control software
Strong understanding of Agile Principles (Scrum)
Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

Bonus Points

Experience with Azure
Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables
Proficient with Relational Data Modeling
Experience with Python Library Development
Experience with Structured Streaming (Spark or otherwise)
Experience with Kafka and/or Azure Event Hub
Experience with GitHub SaaS / GitHub Actions
Experience with Snowflake
Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)

#LI-DOLF

6 month growth

1 year growth

2 year growth