Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Data Engineer for public sector digital transformation project, configuring environments, executing ETL processes, and collaborating with technical teams.
Responsibilities
- 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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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