Data Engineer: 12 Month FTC

Isilumko Staffing; Sandton; On-site; ZAR 500,000 - 700,000; Full time

Job summary

Isilumko Staffing is looking for a skilled Data Engineer based in Sandton, Gauteng. The ideal candidate will have over 5 years of experience in data engineering, especially with SQL, SAS, and Oracle. Responsibilities include designing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to meet data needs.

The position requires a Bachelor's or Master’s degree in a relevant field and expertise in various database technologies. Exposure to cloud platforms like Azure and proficiency in scripting languages are preferred.

Qualifications

• 5+ years of experience in data engineering and ETL development.
• Extensive experience in developing and maintaining data pipelines.
• Proficiency in SQL, SAS, Oracle, and other database technologies.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Integrate data from multiple sources to ensure quality and consistency.
• Monitor and optimize the performance of data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and stakeholders.
• Identify and resolve data-related issues.

Skills

Data engineering

SQL

SAS

Oracle

Cloud platforms (e.g., Azure)

Problem-solving

Communication

Education

Bachelor's or Master’s degree in computer science, Engineering, Information Technology, or a related field

Job description

Description

The Group Data and Analytics Office is on the lookout for a skilled Data Engineer. The ideal candidate will have extensive experience in data engineering, particularly with SAS, SQL and Oracle, and will be responsible for designing, developing, and maintaining the data infrastructure.

Key Responsibilities

• Data Pipeline Development – Design, build, and maintain scalable data pipelines.
• Data Integration and Management – Integrate data from multiple sources to create a unified data environment; ensure data quality and consistency across different systems.
• Performance Optimization – Monitor and optimize the performance of data pipelines and ETL processes; implement best practices for data storage and retrieval.
• Collaboration and Communication – Work closely with data scientists, analysts, and other stakeholders to understand data needs and requirements; collaborate with cross-functional teams to ensure seamless data integration.
• Troubleshooting and Support – Identify and resolve data-related issues and discrepancies; provide support for data-related queries and requests.

Qualifications

Education: Bachelor’s or Master’s degree in computer science, Engineering, Information Technology, or a related field.

Experience:

• 5+ years of experience in data engineering and ETL development.
• Extensive experience in developing and maintaining data pipelines.
• Proficiency in SQL, SAS, Oracle and other database technologies.

Skills

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Knowledge of data modelling, data warehousing, and data integration best practices.

Preferred Qualifications

• Experience with cloud platforms such as Azure.
• Familiarity with scripting languages like Python or R.
• Knowledge of data governance and security practices.