About the role

  • Configure CRM and iPaaS environments
  • Execute ETL processes for migrating critical data elements
  • Collaborate with technical and QA teams to ensure seamless integration and validation
  • Configures a CRM sandbox test environment – resulting in CRM test environment setup guide
  • Executes ETL for migrating CDEs to potential market-leading target CRM platforms
  • Works with both the Technical team and QA lead to implement and test migration resulting in validation reports and collaboration notes
  • Configures iPaaS PoC and test environment
  • Works with EI Technical team to implement and test iPaaS

Requirements

  • 4 + years of extensive professional experience in a data engineering role. Ideally, the proposed candidate should have experience in performing this role in medium to large organisations.
  • A bachelor’s degree in computer science, Information Systems, Engineering, or a related field
  • Demonstrable experience with Data Architecture especially data pipelines and data warehousing, ETL processes design and implementation, Cloud platforms especially SaaS CRM and data warehousing
  • **Skillsets**
  • Programming skills
  • Data warehousing
  • Data modelling
  • Data ingestion tooling
  • Machine learning workflows
  • Real-time/near-time data processing
  • Problem Solving

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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