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Data Engineer III at LexisNexis | JobVerse
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Data Engineer III
LexisNexis
Website
LinkedIn
Data Engineer III
South Africa
Full Time
3 weeks ago
Visa Sponsorship
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Key skills
Amazon Redshift
AWS
Azure
Cloud
ETL
Google Cloud Platform
Java
Python
SQL
Tableau
AI
Machine Learning
ELT
Data Engineering
Analytics
Redshift
GCP
Google Cloud
Version Control
Communication
About this role
Role Overview
Design, build, and maintain scalable data pipelines and integrations that support analytics and AI use cases.
Develop high-quality, well-tested code that follows best practices for readability, security, and maintainability.
Use SQL as a primary tool to query, transform, validate, and optimize data across systems.
Collaborate with technical and business partners to understand data needs and translate them into practical data solutions.
Document data requirements and contribute to specifications for analytics and AI-enabled workflows.
Troubleshoot and resolve data issues through root cause analysis and appropriate automation or tooling.
Identify opportunities to improve efficiency through automation, orchestration, or AI-assisted processes.
Participate in code reviews and development processes that promote reproducibility, transparency, and data quality.
Support database and data flow management to ensure systems meet organizational standards for reliability and AI readiness.
Stay current with evolving data engineering, automation, and AI practices and apply relevant learnings to your work.
Requirements
Professional experience in data engineering, data management, or a related technical role.
Strong, hands-on SQL expertise required, including writing complex queries, performance tuning, and data validation.
Experience with data modeling, file management, and data transformation workflows.
Working knowledge of at least one additional programming or scripting language (such as Python, Java, or similar).
Experience with databases, data platforms, or cloud services (for example, AWS, Azure, GCP, Redshift, or Teradata).
Familiarity with version control, testing, and core software development practices.
Strong problem-solving skills and clear, collaborative communication.
Experience with ETL/ELT processes or general workflow orchestration concepts.
Exposure to AI, machine learning, or data automation tools and practices.
Experience with data visualization tools (such as Tableau or similar).
A bachelor’s degree in a related field or equivalent practical experience.
Tech Stack
Amazon Redshift
AWS
Azure
Cloud
ETL
Google Cloud Platform
Java
Python
SQL
Tableau
Benefits
Health insurance
Shared parental leave
Study assistance
Sabbaticals
Wellbeing initiatives
Apply Now
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