Remote Data Engineer - AI Pipelines & ML Infra

Placements24

LegKraal Gate

Hybrid

ZAR 1,469,000 - 2,122,000

Full time

5 days ago
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Benefits offered by this job

Full remote work
Career growth opportunities
Collaborative team culture

Job summary

Placements24 is seeking a skilled Data Engineer with AI specialization to join a distributed, remote-first team. You will build scalable data pipelines and maintain data infrastructure to power AI and ML initiatives from anywhere.

You’ll collaborate with data scientists and engineers to ensure data availability, quality, and security. Required: 3+ years in data engineering, strong SQL and Python skills, and experience with Spark/Hadoop plus AWS/Azure/GCP.

Qualifications

  • Bachelor's degree in CS/Engineering or related field.
  • 3+ years in data engineering building AI/ML pipelines.
  • Proficiency in SQL and Python; experience with Spark/Hadoop.
  • Experience with cloud data platforms (AWS, Azure, GCP) and data warehousing/NoSQL.

Responsibilities

  • Design, build, and maintain robust and scalable data pipelines for AI/ML applications.
  • Implement ETL/ELT processes to ingest, transform, and load data from various sources.
  • Optimize data infrastructure for performance, reliability, and cost-efficiency.
  • Collaborate with data scientists and ML engineers to understand data requirements.
  • Ensure data quality, integrity, and security across all data systems.

Skills

SQL
Python
Spark
Hadoop
AWS
Azure
GCP
Data Warehousing
NoSQL

Education

Bachelor's degree in Computer Science or Engineering

Job description

Placements24 is seeking a skilled Data Engineer with AI specialization to join a distributed, remote-first team. You will build scalable data pipelines and maintain data infrastructure to power AI and ML initiatives from anywhere.

You’ll collaborate with data scientists and engineers to ensure data availability, quality, and security. Required: 3+ years in data engineering, strong SQL and Python skills, and experience with Spark/Hadoop plus AWS/Azure/GCP.

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