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Job Description

Design, build, and maintain analytics-ready data pipelines and ETL systems in a role focused on reliability, governance, and reporting.

Responsibilities

  • Assist with the design, build, and ongoing maintenance of efficient data pipelines and ETL processes to support reliable data flow.
  • Develop and maintain scalable data warehouse solutions to support evolving organizational data needs.
  • Monitor data pipelines, troubleshoot issues, and help ensure problems are identified and resolved promptly.
  • Model data tables and support business intelligence reporting dashboard development.
  • Support implementation of the team’s data engineering strategy, aligned to organizational goals.
  • Collaborate with the team and manager to evaluate and implement new technologies and methodologies that improve data engineering capabilities.

Requirements

  • 1+ years of hands-on experience in data engineering, data analytics, or a related technical field.
  • Bachelor’s degree in computer science, engineering, or a related field; or equivalent experience.
  • Experience with AWS, including services such as S3, Glue/EMR, SQS, Step Functions, etc.
  • Strong programming skills in SQL and Python.
  • Experience querying and building in Snowflake with dbt.
  • Familiarity with version control, continuous integration, and infrastructure as code.
  • Familiarity with business intelligence reporting tools.
  • Knowledge of Point of Sale and Back of House systems is helpful.
  • Strong problem-solving and analytical skills.
  • Clear communicator able to work effectively with cross-functional teams.

Technologies

  • AWS (S3, Glue, EMR, SQS, Step Functions)
  • SQL
  • Python
  • Snowflake
  • dbt

Location and Work Setup

  • Jacksonville, FL
  • Onsite

Benefits

  • Comprehensive global paid parental leave program
  • Free telemedicine
  • Mental wellness support

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