some Python and AWS data engineering experience, as everything will be related to data ingestion, storage
JHB001726-KK-1 Join our IT Hub South Africa as a Data Scientist-AI Platform, focusing on innovative AI
We are seeking an experienced AWS Data Engineer to join my client's team in Johannesburg for a 6-month Migrate data infrastructure components from source to target AWS accounts Enhance and optimize data pipelines Azure DevOps for efficient deployment Ensure proper data access, permissions, and security controls Collaborate requirements Qualifications: Experience with AWS data services Proficiency in Terraform for cloud infrastructure provisioning Experience with Python and its use in data engineering pipelines Solid understanding of CI/CD
some Python and AWS data engineering experience, as everything will be related to data ingestion, storage
Our client is seeking a vibrant Data Analyst member of their Operations team, you will spearhead data insights and reporting strategies aimed at maximizing raw data to produce bespoke stock and sales reports for stakeholders
related roles within the banking industry.
views and triggers for efficient data processing and generate financial data required for revenue services financial authority. Responsibilities: Manage end to end data solutions through Microsoft BI Stack Create and and optimise advanced SQL queries for efficient data retrieval, manipulation and reporting. Liaise with Certifications in Business Intelligence and / or Data Engineering advantageous. Experience with Microsoft Development), SSAS (Data Cube. Mining), SSRS (Report Development) & Power BI (Data Visualisations).
views and triggers for efficient data processing and generate financial data required for revenue services ilities:
advantageous.
– 4 years) Responsibilities Must have worked on Data Discovery and classification tools like Varonis understanding on data regulations such as PCI , PII , GDPR etc. Must be able to resolve data scanning issues experience on scanning for structured and unstructured Data sources such as Databases, One Drives, SharePoint
functionality of DAM Components Make sure that the generated data is delivered to SPLUNK on a regular defined base on PostgreSQL Make sure that defined PostgreSQL data bases are monitored tight communication and cooperation cooperation with relevant interface partners Assist data base operations team application teams with DAM Tool. Make sure that DAM does not interfere with Data base functionality Engage with software providers least on a quarterly base Build a cloud solution for Data Base Activity monitoring Get known to different