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Data Engineer with AI & Kubernetes

Job Description - Data Engineer with AI & Kubernetes

Job description

Data Engineer with AI & Kubernetes

Location: Columbus, OH – 100% Onsite (5 Days/Week)
Type:
Contract-to-Hire
Experience: 11+ Years (OPT: Minimum 8+ Years)

Visa: Visa Independent Preferred (OPT-EAD acceptable)

Preferred Skills

  • Experience with Airflow or workflow orchestration tools

  • Experience with Kafka/Kinesis or streaming platforms

Job requirements

Required Skills

  • Strong experience in Python for data processing and pipelines

  • Hands-on experience with Apache Spark (PySpark preferred)

  • Experience with AWS services (S3, Glue, EMR, Redshift, Athena, Lambda)

  • Strong SQL skills and database experience

  • Experience with ETL frameworks and data warehousing concepts

  • Experience working with large-scale distributed data systems

  • Experience with CI/CD and Git

  • Strong communication and problem-solving skills

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