Data Intelligence Developer II at TLT Appointing

Durban North, KwaZulu-Natal, South Africa -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

0.0

Posted On

10 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehousing, ETL, ELT, Query Performance Optimisation, Indexing, NoSQL, MongoDB, DocumentDB, Snowflake, DBT, Airflow, SQL, Python, Data Virtualisation, Denodo, Amazon Q, Kiro

Industry

Description

Company Description About Us: TLT Appointing provides recruitment serves via a team of specialist recruitment consultants in the following areas Finance, HR, IT & Telecommunications, Financial Services, Engineering, FMCG & Retail, Consulting & Professional Services, Public Sector, Executive Search Job Description 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 company's culture and values. • Takes responsibility for personal development and career pathing. Subscribes to the company's 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 Master’s degree is an advantage. Experience 4–6 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

Responsibilities

The Data Intelligence Developer II will collaborate with stakeholders to gather requirements and develop data models and ETL/ELT pipelines. They will ensure data quality and optimize the performance of the data environment.