Data Engineer – Business Intelligence Accelerator

Carl Zeiss Pty Ltd

Not specified
Python programming experience
Sql and pyspark proficiency
Azure devops or jenkins implementation
Carl Zeiss Pty Ltd is seeking a Data Engineer for their Business Intelligence Accelerator team to design and implement data architectures and optimize data pipelines. The ideal candidate will possess significant experience in data engineering, especially with large-scale systems, and will be responsible for ensuring data quality and mentoring junior engineers

Job Summary

  • The role involves designing and implementing scalable, reliable data architecture to support large-scale analytics needs.
  • Candidates will be responsible for automating repetitive data tasks and implementing monitoring solutions for production environments.
  • The position requires mentoring junior engineers and contributing to the continuous improvement of engineering practices across the team.

Matching Summary

Match Score: 85

Carl Zeiss Pty Ltd is seeking a Data Engineer for their Business Intelligence Accelerator team to design and implement data architectures and optimize data pipelines. The ideal candidate will possess significant experience in data engineering, especially with large-scale systems, and will be responsible for ensuring data quality and mentoring junior engineers.

Skills & Requirements

Must-have

  • Python programming experience
  • SQL and PySpark proficiency
  • Azure DevOps or Jenkins implementation
  • Large-scale data processing systems
  • Complex data pipeline design

Nice-to-have

  • Mentoring junior engineers
  • Strong communication skills
  • Continuous improvement mindset
  • Collaboration with stakeholders

Key Requirements

  • Degree in MINT field or equivalent
  • At least 3 years of data engineering experience
  • Demonstrated practice in Python, SQL, Pyspark, and DevOps

Work Rights

Not specified

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