Remote AI/ML Data Engineer: Scalable Pipelines & Data Quality

Placements24; Upington; Hybride; ZAR 700 000 - 1 200 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health benefits

Paid time off

Learning & development

Remote work

Cloud access

Résumé du poste

Placements24 is seeking an AI/ML Data Engineer to design, build, and maintain scalable data solutions that power AI initiatives. You will develop robust data pipelines, ensure data quality, and optimize access for ML models and analytics.

This role is fully remote, offering collaboration with data scientists and software engineers. Ideal candidates have strong Python/Scala skills, SQL expertise, and hands-on experience with Spark/Hadoop and cloud data services.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Proven data engineering experience building analytics/ML pipelines.
• Strong Python/Scala, SQL, and data modeling skills.

Responsabilités

• Design, build, and maintain scalable data pipelines for AI/ML apps.
• Develop ETL/ELT processes to ingest, transform, and load data.
• Ensure data quality, integrity, and availability for downstream use.
• Optimize data storage and processing for performance and cost.
• Implement data governance and security best practices.
• Collaborate with data scientists and ML engineers on data needs.
• Develop and manage data warehousing and data lake solutions.
• Monitor pipeline performance and troubleshoot issues.

Connaissances

SQL/NoSQL

Python

Scala

Big data

Data pipelines

Data governance

Cloud platforms

Formation

Bachelor's degree in CS/Engineering

Outils

Apache Spark

Hadoop

Airflow

ETL tools

Description du poste

Placements24 is seeking an AI/ML Data Engineer to design, build, and maintain scalable data solutions that power AI initiatives. You will develop robust data pipelines, ensure data quality, and optimize access for ML models and analytics.

This role is fully remote, offering collaboration with data scientists and software engineers. Ideal candidates have strong Python/Scala skills, SQL expertise, and hands-on experience with Spark/Hadoop and cloud data services.