84.51°

Senior Data Engineer (P2686)

Job description

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

Our data engineers use Python, Hadoop, PySpark, 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 design and development of Hadoop and Cloud-based solutions
  • 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

  • 5+ years proven ability of professional Data Development experience
  • 3+ years proven ability of developing with Hadoop/HDFS and SQL (Oracle, SQL Server)
  • 3+ years of experience with PySpark/Spark
  • 3+ years of experience developing with either Python, Java, or Scala
  • Full understanding of ETL concepts and Data Warehousing concepts
  • Exposure to VCS (Git, SVN)
  • Strong understanding of Agile Principles (Scrum)
  • Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

Preferred Skills – Any experience in the following:

  • Cloud Environment Experience (Preferably Azure)
  • CI/CD Pipelines (Continuous Integration/Continuous Delivery)
  • TDD (Test Driven Development) Principles
  • ETL Principles (Extract Transform Load)
  • ADF (Azure Data Factory)
  • Version Control (GitHub or Azure DevOps)
  • Databricks
  • Databricks Notebooks
  • Python
  • PySpark
  • PyTest
  • Hadoop


ABOUT 84.51

At 84.51° people are the key to everything.

We are dedicated to always doing what's right and never compromising on our values. That's why we have created a culture where every opinion is respected, and contrary thinking is encouraged.

Making life more rewarding for our community and our associates is an essential part of the process. Our team is known for their enthusiasm, camaraderie and sense of fun. We work hard and we play just as hard. That's why we engage in a range of official and unofficial activities to get together, serve the community, and have fun.

We continually seek people who make us better. In order to continue to grow, we need more great people who want to join us in doing cool, industry-changing, brain-stimulating work.


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