Data Engineer
Summary
Senior Data Engineer building and maintaining scalable data pipelines, warehousing, and big-data infrastructure for AI/ML analytics at a client's division in Johannesburg (Randburg). Core stack: SQL, Python or Scala, Spark/Hadoop, and cloud platforms (AWS, Azure, GCP). Permanent hybrid role paying up to R1m per annum.
Job Description
Our client is seeking a skilled Senior Data Engineer to join their analytics division in Randburg. This role is vital in designing, building, and maintaining scalable data pipelines and infrastructure that support advanced analytics and business intelligence initiatives.
Reference number: NG60984
Location: Johannesburg
Contract: Permanent, Hybrid
Salary: up to R1.00mil per annum, negotiable based on experience.
Key Responsibilities
- Design, build, and maintain scalable and reliable data pipelines for AI/ML applications.
- Optimize data ingestion, transformation, and storage processes for efficiency and performance.
- Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
- Collaborate with data scientists and ML engineers to understand their data needs and provide appropriate solutions.
- Develop and manage data warehousing solutions and big data platforms.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 5+ years of experience in data engineering, with significant exposure to AI/ML projects.
- Proficiency in SQL and at least one programming language such as Python or Scala.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud data platforms (AWS, Azure, GCP).
- Solid understanding of database design, data modeling, and ETL/ELT processes.
Benefits
- Competitive salary and performance bonuses.
- Comprehensive health and retirement benefits.
- Opportunities for professional development and continuous learning in data engineering and AI.
- Work on cutting‑edge data infrastructure supporting AI innovation.
- Collaborative environment in the heart of Sandton.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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