Required Soft Skills:
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills to work with cross-functional teams.
- Ability to work in a fast-paced, agile environment.
Primary Areas of Accountability:
Qualifications and Experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.
- Proven experience as a Data Analyst, Data Engineer, or in a similar role with a solid understanding of data architecture and infrastructure.
- Hands-on experience with DevOps tools and practices, especially in cloud environments (AWS, GCP, or Azure).
- Experience working with ETL/ELT pipelines, data warehousing, and big data processing frameworks
- Strong SQL skills and experience working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).
- Experience with CI/CD pipelines, version control (Git), and infrastructure as code (e.g., Terraform, CloudFormation).
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with machine learning pipelines and integrating them into production environments.
- Familiarity with big data technologies such as Kafka, Hadoop, or Spark.
- Knowledge of security best practices in data engineering and cloud-based DevOps environments.
- Certifications in cloud platforms (AWS Certified Data Analytics or Google Cloud Professional Data Engineer).
Q UALIFIED & EXPERIENCED FEMALES ARE ENCOURAGED TO APPLY FOR THIS POSITION
If you meet the hiring requirements for the position, please email your CV in Ms Word and Cover Letter clearly stating your salary expectations to: [email protected] & Cc [email protected]
Note that, all communications will be kept in the strictest of confidence. If you do not receive communication within 21 working days of the closing date of the advert, please consider your application unsuccessful.
DO NOT SEND CERTIFICATES AT THIS STAGE