Data Engineer

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, BigQuery).
• 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.