More jobs:
Data Engineer
Job in
Soweto, 1803, South Africa
Listed on 2026-10-05
Listing for:
Placements24
Full Time
position Listed on 2026-10-05
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
Our client is seeking a skilled and proactive Data Engineer to build and maintain robust data pipelines and infrastructure in Soweto . You will be responsible for designing, developing, and optimizing data systems that support analytics, machine learning, and business intelligence initiatives. This role requires a strong understanding of data warehousing concepts, ETL processes, and big data technologies. Join a growing data team that is instrumental in driving informed business decisions through reliable and accessible data.
Key Responsibilities- Design, build, and maintain scalable and efficient data pipelines using ETL/ELT processes.
- Develop and manage data warehouses, data lakes, and other data storage solutions.
- Ensure data quality, integrity, and reliability across all data systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions.
- Optimize data processing performance and database queries for speed and efficiency.
- Implement data governance and security best practices.
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 3+ years of experience in data engineering or a related role.
- Proficiency in SQL and experience with database systems (e.g., PostgreSQL, MySQL, Snowflake, Big Query).
- Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.
- Knowledge of programming languages commonly used in data engineering, such as Python or Scala.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Competitive salary and performance bonuses.
- Comprehensive medical aid and retirement fund benefits.
- Opportunities for professional development and training in data technologies.
- A collaborative environment focused on data innovation.
- Work on challenging projects that impact business strategy.
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