Senior Data Engineer (P4086)

84.51° Overview84.51° 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°!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.ResponsibilitiesTake 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.Requirements4+ years proven ability of professional Data Development experience3+ years proven ability of developing with Databricks or Hadoop/HDFS3+ years of experience with PySpark/Spark3+ years of experience with SQL3+ years of experience developing with either Python, Java, or ScalaFull understanding of ETL concepts and Data Warehousing conceptsExperience with CI/CDExperience with version control softwareStrong understanding of Agile Principles (Scrum)Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)Bonus PointsExperience with AzureExperience with Databricks Delta Tables, Delta Lake, Delta Live TablesProficient with Relational Data ModelingExperience with Python Library DevelopmentExperience with Structured Streaming (Spark or otherwise)Experience with Kafka and/or Azure Event HubExperience with GitHub SaaS / GitHub ActionsExperience with SnowflakeExposure to BI Tooling (Tableau, Power BI, Cognos, etc.)

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