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Not specifiedFull-timeData EngineeringElectronics Manufacturing

Design, develop, implement, and maintain data infrastructure and pipelines that support AI, business intelligence, and analytics requirements.

Responsibilities

  • Apply data architecture to support AI, BI, and analytics requirements
  • Specify, design, develop, and implement data processes across different environments
  • Develop and maintain end-to-end ETL/ELT data pipelines that transfer data from diverse sources
  • Design and implement data lake and data warehouse infrastructure
  • Monitor, troubleshoot, and improve data pipelines
  • Collaborate with BI, data science, and infrastructure teams
  • Implement solutions in accordance with information security requirements

Requirements

  • Bachelor’s degree in computer science, information systems, data engineering, mathematics, or engineering
  • At least 2 years of experience as a data engineer
  • Proven experience with AWS data infrastructure
  • Strong understanding of data lake and data warehouse architectures
  • Experience writing complex SQL queries and working with relational and NoSQL databases
  • Experience with Python, Java, Scala, or C#

Nice to have

  • Experience with NiFi or other ETL tools
  • Experience with Azure or Google Cloud
  • Familiarity with on-premises Cloudera

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