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AWS Data Engineer

  • Source: LinkedIn
  • Arkhya Tech. Inc.
  • On-site
  • New York City
  • Mid level

Job Description

  • Spark hands on with optimization and troubleshooting
  • Proficiency with the AWS data ecosystem (EMR, S3, Glue, Lambda, Redshift, etc.).
  • Ability to write and optimize complex SQL queries
  • Well versed with either Python or Scala
  • Ability to develop and manage data pipelines
  • good understanding of data warehousing and data lake concept
  • Monitoring services and capabilities

Skills

  • amazon-web-services
  • amazon-emr
  • amazon-s3
  • aws-glue
  • aws-lambda
  • amazon-redshift
  • Python
  • Scala
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