AI Data Engineer: Build Scalable Pipelines for AI/ML

Placements24; Benoni; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive compensation

Professional development opportunities

Collaborative team culture

Exposure to AI/ML projects in Benoni

Job summary

Placements24 is seeking an AI Data Engineer in Benoni to design, build, and manage scalable data pipelines for model training and analytics. You will develop ETL/ELT processes, implement data warehousing and data lakes, and ensure data quality across platforms.

Join a collaborative team focused on AI initiatives, working closely with data scientists and ML engineers to deliver robust data infrastructure and accessible, trustworthy data for advanced analytics.

Qualifications

• Bachelor's degree in Computer Science, Engineering or a related field.
• Proven experience as a Data Engineer focused on analytics/AI pipelines.
• SQL and programming in Python or Scala.
• Experience with big data technologies (Spark, Hadoop) and cloud data services (AWS, Azure, GCP).
• Familiarity with data warehousing concepts and data modeling.

Responsibilities

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop ETL/ELT processes to ingest, clean, and transform large datasets.
• Implement data warehousing and data lake solutions for analysis and model training.
• Ensure data quality, integrity, and governance across platforms.
• Collaborate with data scientists to provide efficient data access.

Skills

SQL

Python

Scala

Spark

Hadoop

Data modeling

Data warehousing

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS

Azure

GCP

Job description

Placements24 is seeking an AI Data Engineer in Benoni to design, build, and manage scalable data pipelines for model training and analytics. You will develop ETL/ELT processes, implement data warehousing and data lakes, and ensure data quality across platforms.

Join a collaborative team focused on AI initiatives, working closely with data scientists and ML engineers to deliver robust data infrastructure and accessible, trustworthy data for advanced analytics.