BI Full Stack Developer at Sanlam Group

What will make you successful in this role?

• Define and implement a structured approach to problem-solving and delivery.
• Create design standards, patterns, and principles.
• Engage with technical stakeholders to gather requirements and ensure successful project delivery.
• Mentor and provide support to Junior Full Stack Developers.
• Implement secure authentication and authorization mechanisms.
• Perform code reviews to ensure code quality, maintainability, and adherence to best practices.
• Optimize application performance and ensure scalability.
• Troubleshoot and debug issues reported by users.
• Collaborate with team members to identify and implement continuous improvements to development processes and tools.
• Utilize a continuous integration and continuous delivery (CI/CD) pipeline to automate application deployment.
• Stay up-to-date with industry trends and technologies.
• Actively contribute to knowledge sharing within the team.

Qualification;

• Matric
• Bachelor’s degree or Diploma in Computer Science, Statistics, Informatics, Information Systems, Engineering or another quantitative field 

Experience:

• Minimum of 3 years of experience with full stack development, including front-end and back-end technologies.
• Experience with AWS or Azure cloud platforms will be an advantage
• Experience with DevOps and DataOps tooling and processes, such as Git and Jira
• Experience with Hadoop components, including HDFS, Hive, Spark, Oozie, and Impala.

Knowledge;

• Knowledge of data warehousing and dimensional data modelling.
• Understanding of event/streaming based data pipelines
• Strong programming skills in Python, Java, or related languages
• Solid understanding of back-end technologies and experience with building RESTful APIs.
• Familiarity with queue/event/streaming-based data pipelines, such as Kafka or Nifi.
• Knowledge of database technologies, such as SAP Hana and Cloudera.
• Understanding of data architecture design and delivery.
• Familiarity with agile methodology is preferred.

Knowledge and Skills;

• IT Data Analysis
• Project Oversight
• Reporting and Administration
• Quality, Compliance and Accreditation
• Business Requirements Definition
• Technologies