Data Engineer

Job Description

We are looking for a skilled Data Engineer to join our vibrant team in Pretoria. In this role, you will be responsible for designing and implementing robust data pipelines, collaborating with cross-functional teams to support data-driven decision-making processes. The ideal candidate will possess a strong understanding of data modeling, ETL processes, and cloud data services, ensuring our data infrastructure is optimized for performance and scalability.

Responsibilities

• Create and maintain data pipelines for various data sources.
• Work closely with cross-functional teams to align data solutions with business needs.
• Conduct performance tuning and optimization of existing data workflows.
• Support data migration activities during system upgrades.
• Build visualizations and reports to communicate key data insights.
• Teach team members about data management best practices.
• Explore and adopt new tools to streamline data processing.
• Assist in data warehousing and architecture planning.

Requirements

Education

• Bachelor's degree in Data Science or related field

Experience

• 5+ years of experience in data engineering or similar roles

Technical Skills

• SQL
• Big Data Technologies
• Data Warehouse Solutions
• Automated Data Pipelines
• Data Governance

Soft Skills

• Critical Thinking
• Interpersonal Skills

Certifications

• Microsoft Certified: Azure Data Engineer Associate
• IBM Certified Data Engineer

Languages

• English: Fluent

Advantageous

• Familiarity with Machine Learning: Experience with machine learning algorithms and their application in data processing.
• Experience with Docker: Knowledge of Docker for containerization of data applications.

Benefits

• Competitive remuneration package including health benefits.
• Professional development opportunities and training.
• Flexible work hours and the possibility of remote work.
• Employee wellness initiatives.

Company Culture

• Innovation Driven: We prioritize innovation and encourage creative problem-solving to improve our data processes.
• Team Collaboration: Collaboration is at our core; we believe that the best results come from working together.
• Commitment to Growth: A focus on personal and professional growth for all employees, providing frequent training opportunities.