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Data Engineer II

Skills
Computer ScienceData EngineeringAirflowApache SparkData AnalyticsData ArchitectureData Modeling
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Minimum of 3 years of experience working with high volume data infrastructure.
  • Experience with cloud platforms like Databricks and AWS, or a cloud framework like dbt.
  • Experience with job orchestration tooling like Airflow.
  • Proficiency in programming in either Python or Java.
  • Proficiency with SQL and ability to optimize queries.
  • Experience in data modeling and database design.
  • Experience with large-scale data processing using Spark and/or Presto/Trino.
  • Experience with ads-related data systems like Google Ad Manager, Adbutler, Kevel, Acxiom, Fantix, LiveRamp.
  • Experience in modern development lifecycle including Agile methodology, CI/CD, automated deployments using Terraform, GitHub Actions.
  • Knowledge of the latest open source, data frameworks, and modern data platform tech stacks and tools.
  • Good communication skills and ability to work independently.
  • BS in Computer Science, Software Engineering, Mathematics, or equivalent experience.

Nice to have

  • Always learning
  • Highly collaborative
  • Open-minded

Day to day

  • Enhance and maintain data processing and storage pipelines/workflows for a robust and secure data lake.
  • Take ownership of our data systems to make them world class.
  • Collaborate with ads analytics teams and apply best practices.