We are seeking a talented Data Engineer to join our team in Johannesburg, South Africa. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure to support advanced analytics and machine learning initiatives.
Develop and maintain scalable data pipelines to collect, process, and store large volumes of data
Collaborate with data scientists and analysts to understand data requirements and implement efficient data models
Design and implement ETL processes to transform raw data into meaningful insights
Optimize data systems for performance, reliability, and scalability
Implement data quality checks and monitoring systems to ensure data integrity
Develop and maintain documentation for data processes and architectures
Stay up-to-date with emerging technologies and best practices in data engineering
Participate in code reviews and contribute to the improvement of our data engineering practices
Qualifications
Bachelor's degree in Computer Science, Engineering, Statistics, or a related field
5+ years of experience in data engineering or a related field
Strong proficiency in programming languages such as Python, R, and SQL
Experience with big data technologies like Hadoop and Spark
Knowledge of machine learning algorithms and statistical modeling techniques
Familiarity with data visualization tools such as Tableau or Power BI
Excellent problem-solving skills and attention to detail
Strong analytical and organizational abilities
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus
Understanding of data privacy and security practices
Knowledge of data governance principles
Relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are preferred
Ability to work efficiently in a fast-paced, collaborative environment
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
Additional Information
Behavioural Competencies:
Adopting Practical Approaches
Articulating Information
Checking Things
Developing Expertise
Documenting Facts
Embracing Change
Examining Information
Interpreting Data
Managing Tasks
Producing Output
Taking Action
Team Working
Technical Competencies:
Big Data Frameworks and Tools
Data Engineering
Data Integrity
Data Quality
IT Knowledge
Stakeholder Management (IT)
Please note:
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