Data Engineer

Job Description

We are seeking a Data Engineer to enhance our data ecosystem. In this role, you will create and maintain data architectures, develop ETL processes, and ensure high data quality across various systems. A successful candidate will possess strong analytical skills and experience with databases, cloud technologies, and big data frameworks.

Responsibilities

• Develop and manage data processing frameworks and architecture.
• Collaborate with various teams to refine data specifications.
• Set up and monitor data quality metrics to ensure data accuracy.
• Perform troubleshooting of data pipelines to address any bottlenecks.
• Research and evaluate new data-related technologies and tools.
• Work with cloud platforms to deploy data solutions.
• Conduct training sessions for staff on data handling and usage best practices.

Requirements

Education

• Bachelor's degree in Computer Science, Engineering, or a related field
• Master's degree is preferred

Experience

• 3+ years of experience in data engineering or related field

Technical Skills

• SQL
• Python
• Apache Spark
• Data Warehousing
• AWS

Soft Skills

• Problem-solving
• Communication

Certifications

• AWS Certified Data Analytics
• Microsoft Azure Data Engineer Associate

Languages

• English: Fluent
• Zulu: Conversational

Advantageous

• Experience with data visualization tools: Familiarity with tools like Tableau or Power BI for presenting data.
• Knowledge of machine learning concepts: Understanding of machine learning principles to collaborate better with data scientists.

Benefits

• Competitive salary and performance bonuses.
• Health and wellness benefits.
• Opportunities for professional development.
• Flexible work hours and remote work options.

Company Culture

• Innovation and Creativity: Encouraging innovative thinking to solve complex data challenges.
• Collaboration: Teamwork is essential; we thrive in a collaborative environment.
• Diversity and Inclusion: A commitment to building a diverse and inclusive team.