1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
Client is seeking a meticulous and experienced QA Consultant with specialized knowledge in HVAC systems and role, you will be responsible for ensuring the quality and compliance of our HVAC installations and construction regulations. Responsibilities: Conduct inspections and quality audits of HVAC installations and construction projects managers, engineers, and contractors to resolve quality issues and implement corrective measures. Provide technical guidance and support to ensure adherence to quality standards throughout the project lifecycle. Participate
Matric with relevant quality qualification.
3-5 years’ experience quality management in a production mentor quality staff
Experience compiling quality reports
Conduct ongoing quality inspections
Ensure inspections
Ensure quality system is operational and being used effectively
Develop, implement implement maintain and improve quality standards
Manage QMS in line with the industry standards (ISO 9000 standards, rules and regulations
Present quality reporting at management meetings
QUALITY CONTROLLER
* Minimum 3 Years' experience - Mining Industry experience will be
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* Responsible for the QUALITY & ACCURACY of
their Work
* Working with Purchasing staff to establish Quality requirements
from External suppliers
*
produced
* Report Inspection and Test Data
* Aid in the OHS System
* 3rd Party Inspections
Requirements:
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Responsibilities:
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Overview:We are seeking an experienced and highly skilled Data Engineer to join our client’s dynamic and innovative scalable data pipelines and infrastructure. This role requires a deep understanding of data engineering a commitment to delivering high-quality, reliable, and efficient data solutions.
Key Re
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You'll Do:Design, Develop, and Optimize Data Pipelines
insurance industry is looking for an experienced Data Scientist to form part of their life and non-life
opportunity:
As a data scientist, you'll be instrumental in utilizing data to uncover valuable
with various teams, you'll craft inventive, data-centric solutions that tackle business hurdles and
develop robust data pipelines and infrastructure for structured and unstructured data.
Apply