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Senior Data Engineer - II

Summary

Builds and secures on-premises data pipelines and warehouses with Oracle Data Integrator, ensuring data quality and compliance for a government trade facilitation platform.

  • Develop and implement ELT data pipelines using Oracle Data Integrator to extract, transform, and integrate data from multiple systems
  • Design and develop efficient, scalable data models aligned to business needs
  • Build and deploy on-premises data warehouses and data lakes using Oracle Data Integrator and related tools
  • Develop and implement data security measures — encryption, access control — to protect data from unauthorized access and misuse
  • Partner with stakeholders to understand data requirements and deliver solutions addressing data quality and security needs
  • Conduct data analysis, build data visualizations, and troubleshoot data issues across integrated systems
  • Maintain data documentation and stay current on emerging data technologies and trends
  • Develop and implement ELT data pipelines using Oracle Data Integrator to extract, transform, and integrate data from multiple systems
  • Design and develop efficient, scalable data models aligned to business needs
  • Build and deploy on-premises data warehouses and data lakes using Oracle Data Integrator and related tools
  • Develop and implement data security measures — encryption, access control — to protect data from unauthorized access and misuse
  • Partner with stakeholders to understand data requirements and deliver solutions addressing data quality and security needs
  • Conduct data analysis, build data visualizations, and troubleshoot data issues across integrated systems
  • Maintain data documentation and stay current on emerging data technologies and trends

Requirements

  • Bachelor's degree in Computer Science or a related field (preferred), with 4-5 years of relevant experience
  • Proven experience in data transformation; Oracle Data Integrator (ODI) preferred
  • Sound knowledge of security principles, procedures, and practices
  • Strong analytical thinking and problem-solving capabilities
  • Effective communication and interpersonal skills
  • Ability to handle confidential and sensitive information with discretion
  • Strong SQL queries and data modelling concepts (mandatory)

Benefits

  • Competitive salary
  • Fuel Card
  • Health benefits
  • Professional development opportunities
  • Inclusive work culture & much more

See also

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