Data Engineer with AI Kubernetes

Columbus, OH, US • Posted 1 day ago • Updated 1 day ago
Full Time
On-site
$100,000 - $140,000/yr
Fitment

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Job Details

Skills

  • Docker

Summary

Required Skills & Qualifications:

  • Strong proficiency in Python for data processing and pipeline development
  • Hands-on experience with Apache Spark (PySpark preferred)
  • Solid experience with AWS services such as S3, Glue, EMR, Redshift, Athena, Lambda
  • Experience with SQL and relational/non-relational databases
  • Knowledge of data modeling, data warehousing concepts, and ETL frameworks
  • Experience working with large-scale, distributed data systems
  • Familiarity with CI/CD pipelines and version control tools (Git)
  • Strong problem-solving and communication skills

Preferred / Nice to Have:

  • Experience with Airflow or other workflow orchestration tools
  • Knowledge of Kafka, Kinesis, or streaming data platforms
  • Experience with Docker/Kubernetes
  • Exposure to Delta Lake, Iceberg, or HuD.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 501494924
  • Position Id: 8915540
  • Posted 1 day ago
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