Our client is excited to be on the lookout for a talented Data Engineer who will be at the forefront of architecting, building, and maintaining their data infrastructure, supporting data-driven decision-making processes. Join this dynamic and rapidly expanding team, committed to building a world where more SMEs thrive.
Key Requirements
- Bachelor’s degree in Statistics, Data Science, Computer Science, Information Technology, or Engineering.
- Minimum of 2 years of professional experience in a Data Engineering role, with a proven track record of successful data infrastructure projects.
- Proficiency in data analysis tools and languages such as SQL, R, and Python.
- Strong knowledge of data modelling, visualization, data access, and data storage techniques.
- Proficiency in at least one of Microsoft Azure, Google Cloud Platform/Engine, or AWS Lambda environments.
- Previous roles might include Data Engineer, Data Systems Developer, or similar positions with a focus on building and maintaining scalable, reliable data infrastructures.
- Strong experience in API development, integration, and management. Proficient in RESTful and SOAP services, with a solid understanding of API security best practices
- Experience in a fast-paced, high-growth environment, demonstrating the ability to adapt to changing needs and technologies.
Should you meet the requirements for this position, please email your CV to [Email Address Removed]. You can also contact the IT team on [Phone Number Removed]; or visit our website at [URL Removed] NOTE: When replying to the advert, also include the reference number in the subject line. Correspondence will only be conducted with short listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.
Desired Skills:
- SQL
- R
- Python
- AWS