Senior Data Engineer (AWS) - Scalable Data Pipelines

Impronics Technologies; Gauteng; On-site; ZAR 600,000 - 800,000; Full time

Job summary

Impronics Technologies is seeking a Senior Specialist – Data Engineer to join their team in Gauteng, South Africa. You will design, build, and optimize scalable data pipelines to support analytics. Key responsibilities include maintaining data architectures and ensuring compliance with governance frameworks. Candidates should have 5-7 years of experience in data engineering, strong SQL skills, and be knowledgeable in data integrity and big data frameworks. This role offers a chance to make significant contributions to enterprise-wide decision-making.

Qualifications

• 5–7 years of hands-on experience in data engineering.
• Proven experience building and maintaining databases, data warehouses, and data integration solutions.
• Strong experience with SQL, PL/SQL, Spark, and modern data pipeline tools.

Responsibilities

• Design, develop, and maintain scalable, high-performance data pipelines and architectures.
• Implement best practices for data integration, data warehousing, and reporting.
• Build and manage infrastructure for efficient data extraction, transformation, and loading (ETL).

Skills

Data engineering

SQL

Data pipeline development

Data governance

Collaboration with stakeholders

Education

Bachelor’s degree in Business Commerce, Information Studies, Information Technology, or a related field

Tools

AWS

SQL-based technologies

Spark

Job description

Impronics Technologies is seeking a Senior Specialist – Data Engineer to join their team in Gauteng, South Africa. You will design, build, and optimize scalable data pipelines to support analytics. Key responsibilities include maintaining data architectures and ensuring compliance with governance frameworks. Candidates should have 5-7 years of experience in data engineering, strong SQL skills, and be knowledgeable in data integrity and big data frameworks. This role offers a chance to make significant contributions to enterprise-wide decision-making.