Senior Data Engineer- AWS

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

We are seeking a Senior Specialist – Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and data platforms that support enterprise-wide analytics and decision-making. You will ensure all data solutions comply with architectural standards, governance frameworks, and security policies, while partnering closely with business and technology stakeholders.

Key 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) using AWS and SQL-based technologies.
• Develop APIs and data tools to support analytics, reporting, and downstream data consumers.
• Automate data processes to improve operational efficiency and scalability.
• Ensure data governance, security, and regulatory compliance in collaboration with Information Security teams.
• Perform root-cause analysis on data issues and recommend long-term improvements to data systems.
• Collaborate with cross-functional teams to translate business requirements into robust technical solutions.

Qualifications

Education

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

Experience

• 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.
• Demonstrated ability to optimize big data architectures and develop APIs.
• Solid understanding of data engineering principles, integration patterns, and performance optimization.
• Advanced expertise in Data Engineering and data pipeline development.
• Strong knowledge of data integrity, big data frameworks, and modern data architectures.
• Broad IT knowledge with the ability to manage and collaborate with diverse stakeholders.