TEAM FOR TRAINING LEARN PRACTICAL ASPECTS OF IT DEPARTMENT MUST HAVE MATRIC IT QUALIFICATION R 8 - R 10
boundaries of automotive engineering. Responsible for CA Data Management of central sector and all plants and guidelines Consult users how to store the CA data and permanent data archives as well as run reports Assign (Windows only) Create CA data structure as per BMW guidelines Rearrange CA data structure as per project obsolete CA data using web application CA Cleanup Tool (Unix only) Backup and restore CA data Allow users work on weekends (changes) Serve as contact for data management related questions in the cloud Serve
controlling and management of their financial department. The ideal individual for this role will have You will also be hands-on involved with the department. The requirements: Qualification: Registered
(Git) Experience in the development of Dashboards, Health monitors & Alerts Experience in task Automation Report creation based on SQL databases and other data sources Any additional responsibilities assigned
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data PowerShell / Bash Glue CloudWatch SNS Athena S3 Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”)
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL Working Model (AWM) Charter ADVANTAGEOUS SKILLS Data and API Mining Knowledge on Security best practices setting up alerting pipelines. Be comfortable with Data Structures and Algorithms Understanding of integration Docker container creation and usage Familiar with data streaming services such as Apache Kafka Coordination Knowledge of Jira, Confluence and Agile methodologies Data Analysis ITSM knowledge User support ticket management
external interface partners Plan the integration and data flows between multiple CMDBs and network management extract insights from existing network infrastructure data (e.g., for capacity, lifecycle, or problem management) Ansible Experience with Business Intelligence and data visualization tools (e.g. AWS Quicksight) Experience workflows for database systems Experience with common data formats, e.g. YAML, JSON Experience in managing managing the integration of database systems, including data flow management Understanding of various database
Our client requires the services of a Data Engineer/Scientist ( Advanced ) - Midrand/Menlyn/Rosslyn/Home design and develop data sources (activate standard data sources, enhance existing data sources and create create custom data sources). Technically Develop Customer Specific Solutions, with adaptability, portability Management SAP Analytics Cloud Eclipse SAP BW 7.5 Data Modelling and BEX skills essential SAP ABAP, AMDP
You'll manage and enhance CMDB processes, ensure data quality, and support enterprise IT solutions like Configuration Management Database (CMDB), configuration item data models, and relations. - Detailed familiarity with Platforms – Operating systems (Windows, Linux), Data Centres, Networks, Databases, Web technologies, governance framework to measure and continually improve data quality and verification processes. - Capable of - Monitor and steer IT Configuration Management data quality in accordance with relevant KPIs. - Responsible
components to manage static data. Create pages to view different aggregations of data. Implement complex calculations charts on the data. Write scripts to upload bulk excel data into MongoDB. Implement data model diagrams diagrams to MongoDB schemas. Restrict sensitive data to specific roles/users. Work with Group approved software