Data Engineer
Summary
Placements24 is recruiting a Data Engineer for a client in Soweto, South Africa, to design, build, and optimize ETL/ELT data pipelines, warehouses, and data lakes supporting analytics, ML, and BI. Core tech includes SQL, Python or Scala, big data tools like Spark and Hadoop, and cloud data services on AWS, Azure, or GCP.
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.