Lead Data Engineer @ 84.51 Degrees

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°!

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Lead Data Engineer (P2376)

As a Lead Data engineer for a data products team, you will have the opportunity to design and build data products and their interfaces for internal and external clients.

We are a team of innovators, continuously exploring new technologies that ensure 84.51° remains on the cutting-edge of data development. In this position, you will be utilizing Apache Spark’s Pyspark API, Apache Airflow, Databricks, and Azure Data Factory daily.

Responsibilities

• Lead the design of and develop Cloud and Data based solutions (Databricks, Snowflake, etc.)

• 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

• 5+ years proven ability of developing with HDFS/RDBS/Cloud Database Technologies

• 3+ years developing experience with SQL and either Java or Python

• 3+ years experience with PySpark/Spark

• 3+ years experience with Data Automation – e.g. Airflow, Azure Data Factory

• Data quality and testing best practices

• Full understanding of ETL concepts

• Strong understanding of CI/CD methodology

• Understanding of Object-Oriented and SOLID principles

• Strong understanding of Agile Principles

Preferred Skills

• New Technical Product Development

• Cloud Engineering Experience (Azure)

• Databricks

• Snowflake

• Terraform

• Exposure to API development

• Exposure to Service Oriented Architecture

• Proficient with relational data modeling and/or data mesh principles

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