- Collaborate with stakeholders to gather requirements and define key performance indicators.
Develop robust data models and ETL/ELT pipelines to ingest transform and store data.
Design and maintain canonical and semantic data models aligned to business and integration needs.
Ensure data quality and accuracy through validation checks and reconciliations.
Monitor and optimise the performance of our data environment for efficiency and scalability. Works in partnership with Business representatives (e.g. Product Owner Business Owner) ensuring alignment and value to the customer
Aligns personal values to the companys culture and values.
Takes responsibility for personal development and career pathing.
- Subscribes to the companys code of ethics.
- Behaves in a manner that enhances the reputation and brand of the department and the company.
Qualifications :
Minimum Requirements
Education
- BSc in Computer Science Electronic Engineering or BCom in Business Information Systems (BIS).
- A high-quality Technikon Diploma will also be considered.
- A Masters degree is an advantage.
Experience
- 46 years experience in a large organisation (financial services preferred).
Competencies
- Technical Competencies:
- Core
- Strong foundation in data warehousing concepts and ETL/ELT processes.
- Query Performance Optimisation indexing using rowstore and columnstore databases
- Experience using NoSQL platforms like MongoDB DocumentDB etc.
- Hands-on experience with Snowflake DBT Airflow.
- Proficiency in SQL and Python.
- Advantageous:
- Knowledge of data virtualisation; experience with Denodo will be a strong advantage.
- Experience working with Amazon Q / Kiro
Remote Work :
No
Employment Type :
Full-time
Collaborate with stakeholders to gather requirements and define key performance indicators. Develop robust data models and ETL/ELT pipelines to ingest transform and store data. Design and maintain canonical and semantic data models aligned to business and integration need...
- Collaborate with stakeholders to gather requirements and define key performance indicators.
Develop robust data models and ETL/ELT pipelines to ingest transform and store data.
Design and maintain canonical and semantic data models aligned to business and integration needs.
Ensure data quality and accuracy through validation checks and reconciliations.
Monitor and optimise the performance of our data environment for efficiency and scalability. Works in partnership with Business representatives (e.g. Product Owner Business Owner) ensuring alignment and value to the customer
Aligns personal values to the companys culture and values.
Takes responsibility for personal development and career pathing.
- Subscribes to the companys code of ethics.
- Behaves in a manner that enhances the reputation and brand of the department and the company.
Qualifications :
Minimum Requirements
Education
- BSc in Computer Science Electronic Engineering or BCom in Business Information Systems (BIS).
- A high-quality Technikon Diploma will also be considered.
- A Masters degree is an advantage.
Experience
- 46 years experience in a large organisation (financial services preferred).
Competencies
- Technical Competencies:
- Core
- Strong foundation in data warehousing concepts and ETL/ELT processes.
- Query Performance Optimisation indexing using rowstore and columnstore databases
- Experience using NoSQL platforms like MongoDB DocumentDB etc.
- Hands-on experience with Snowflake DBT Airflow.
- Proficiency in SQL and Python.
- Advantageous:
- Knowledge of data virtualisation; experience with Denodo will be a strong advantage.
- Experience working with Amazon Q / Kiro
Remote Work :
No
Employment Type :
Full-time
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