Data Architecture Engineering Senior Professional

Hitachi Vantara

**
Proficiency in mssql and batch/powershell
Experience with rest apis and pbi reporting
Hands on etl/elt development skills
** Hitachi Vantara is seeking a Data Architecture Engineering Senior Professional to enhance their data infrastructure, focusing on building data pipelines, managing ETL processes, and supporting data warehousing. The ideal candidate should have extensive experience in data engineering, strong technical skills, and a collaborative mindset, all while contributing to a diverse and innovative company culture. **

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 a diverse global team environment with industry-leading benefits and flexible work arrangements.

Matching Summary

Match Score: 75

** Hitachi Vantara is seeking a Data Architecture Engineering Senior Professional to enhance their data infrastructure, focusing on building data pipelines, managing ETL processes, and supporting data warehousing. The ideal candidate should have extensive experience in data engineering, strong technical skills, and a collaborative mindset, all while contributing to a diverse and innovative company culture. **

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 services
  • Strong understanding of data modeling

Nice-to-have

  • Knowledge of Oracle EBS modules
  • Experience with Salesforce Finance modules
  • Understanding of data privacy regulations
  • Ability to work in dynamic research teams
  • Statistical analysis capabilities

Key Requirements

  • Proven work experience as a Data Engineer
  • Solid understanding of data engineering principles
  • Demonstrated experience handling large datasets

Work Rights

Not specified

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