Sr Dataops Engineer (devops For Data)

WORKDAY AUSTRALIA PTY

Not specified; not specified; not specified
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8 years hands-on cloud-native data platform experience
3-5+ years implementing robust ci/cd pipelines
Proficiency with snowflake dbt airflow and fivetran
** Workday Australia is seeking a Senior DataOps Engineer to optimize their cloud-based data platform through the implementation of CI/CD automation. The ideal candidate should have significant experience in DataOps/DevOps principles and a strong understanding of data management tools to help drive data-driven decision-making across the organization. **

Job Summary

  • The role involves implementing CI/CD automation to drive technical and business processes across the enterprise data platform.
  • Workday is seeking a Senior DataOps Engineer to build and scale a modern data platform supporting data-driven decision-making.
  • Candidates will collaborate with IT and Analytics Engineering to establish critical integrations between platforms like Snowflake and dbt.

Matching Summary

Match Score: 75

** Workday Australia is seeking a Senior DataOps Engineer to optimize their cloud-based data platform through the implementation of CI/CD automation. The ideal candidate should have significant experience in DataOps/DevOps principles and a strong understanding of data management tools to help drive data-driven decision-making across the organization. **

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 8 years hands-on cloud-native data platform experience
  • 3-5+ years implementing robust CI/CD pipelines
  • Proficiency with Snowflake dbt Airflow and FiveTran
  • Deep understanding of DataOps DevOps principles
  • Experience with automated environment provisioning and testing

Nice-to-have

  • Familiarity with data cataloging and lineage solutions
  • Strong knowledge of data security best practices
  • Excellent communication and social collaboration skills
  • Experience with Agile methodologies in DataOps tasks

Key Requirements

  • 8 years of hands-on experience managing cloud-native data platforms
  • 6 years with a masters degree as alternative qualification
  • 3-5+ years experience with core data orchestration tools
  • High level understanding of data modeling and ETL/ELT processes

Work Rights

Not specified

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