Data engineer (ai focus)
Placements24 · North West, South Africa ·
- Work mode
- Remote
- Category
- Data engineering
- Experience
- 3+ years
Placements24 · North West, South Africa ·
Our client is looking for a skilled Data Engineer with a specialization in AI to join their distributed team, working remotely. You will be instrumental in building and maintaining scalable data infrastructure and pipelines that power our client's advanced AI and machine learning initiatives. This role involves ensuring the availability, quality, and accessibility of data for data scientists and ML engineers. As a key contributor in a remote-first organization, you will collaborate with diverse teams to implement robust data solutions that drive insights and enable cutting-edge AI development. This is an excellent opportunity to work with modern data technologies and contribute to impactful AI projects from the comfort of your home.
Key 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 their data requirements. Ensure data quality, integrity, and security across all data systems. Requirements Bachelor's degree in Computer Science, Engineering, or a related quantitative field. 3+ years of experience in data engineering, with a focus on building data pipelines for AI/ML. Proficiency in SQL, Python, and experience with big data technologies (e.g., Spark, Hadoop). Experience with cloud data platforms (AWS, Azure, GCP) and their associated services. Familiarity with data warehousing concepts and database technologies (relational and No SQL). Benefits Competitive salary and comprehensive benefits. Full remote work flexibility. Opportunities for professional growth and development in data engineering and AI. Access to advanced tools and technologies in a dynamic work environment. Collaborative and supportive team culture.