Job Description

Responsibilities

  • Develop and maintain data solutions that ingest, transform and generate insights.
  • Support and maintain the data and pipeline infrastructure
  • Work with other ML engineers to analyze and model data to design data solutions that provide business insights.
  • Recognizing patterns and opportunities to consolidate implementations and/or create standards
  • Have a growth mindset, be proactive, take initiative and have a desire to learn
  • Provide clear communication to technical staff and stakeholders

Must Haves

  • 4 - 6 years of Data Engineering experience
  • A minimum of 3 years of cloud experience (AWS required, GCP is a nice to have)
  • Experience with AWS Sagemaker
  • Data Engineering, ETL development and data warehousing experience
  • Advanced SQL
  • Python
  • Spark
  • Java
  • Experience building data pipelines in Databricks
  • Experience...

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