Data Architecture Engineering Senior Professional

Hitachi Metals

Not specified; not specified; industry-leading ben...
Not specified (flexible arrangements possible based on role and location)
Proficiency in mssql and batch/powershell
Experience with rest apis and pbi reporting
Hands-on etl/elt development skills
Hitachi Metals is seeking a Senior Data Architecture Engineer to build and maintain data pipelines, ETL processes, and reporting environments as part of a diverse global team. The ideal candidate should have extensive experience in data engineering, proficiency in various tools and technologies, and a strong understanding of data methodologies

Job Summary

  • The role involves building resilient data infrastructure to help customers automate, optimize, and innovate with their data.
  • Candidates will design and maintain ETL processes while collaborating with multiple teams to ensure data quality and security.
  • Hitachi Vantara offers an inclusive culture with flexible arrangements and industry-leading benefits focused on holistic health and wellbeing.

Matching Summary

Match Score: 85

Hitachi Metals is seeking a Senior Data Architecture Engineer to build and maintain data pipelines, ETL processes, and reporting environments as part of a diverse global team. The ideal candidate should have extensive experience in data engineering, proficiency in various tools and technologies, and a strong understanding of data methodologies.

Salary

Not specified; Not specified; Industry-leading benefits mentioned

Skills & Requirements

Must-have

  • Proficiency in MSSQL and Batch/Powershell
  • Experience with REST APIs and PBI Reporting
  • Hands-on ETL/ELT development skills
  • Familiarity with AWS ecosystem including Redshift
  • Solid understanding of data engineering principles

Nice-to-have

  • Knowledge of Oracle EBS or Salesforce Finance modules
  • Experience with MS-SSIS and SSAS tools
  • Understanding of data privacy regulations
  • Ability to work in a dynamic research-oriented team

Key Requirements

  • Proven work experience as a Data Engineer or related role
  • Strong grasp of data methodologies and statistical analysis
  • Demonstrated ability to handle large datasets and relational databases

Work Rights

Not specified

Tailored Resume

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