Data Engineer with AI Kubernetes

Columbus, OH, US • Posted 5 days ago • Updated 5 days ago

Contract W2

No Travel Required

On-site

$50 - $55/hr

HPTech Inc.

Fitment

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Job Details

Skills

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

Summary

Title - Data Engineer with AI Kubernetes
Location –Columbus, OH

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: 91162806
Position Id: 8896453
Posted 5 days ago

Company Info

About HPTech Inc.

HPTech Inc has grown to become a premier provider of IT consulting services for technology. With a specialized niche in transaction and data warehousing applications, HPTech Inc helps clients implement mission-critical, enterprise solutions, speed conversion from legacy environments, and optimize the benefits inherent in their systems. Our consulting solutions range from project strategy and planning, software assessment and selection, to implementation and integration, hosting and change management, support and maintenance translating to higher productivity, lower costs.

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