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Data Engineer

Job in Soweto, 1803, South Africa
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
About the Role

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.
Requirements
  • 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.
Benefits
  • 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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