PE010814-LM-1 The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the company's Data Architecture Roadmap, to advance technical thought leadership for the purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning and solutions around big data that support the Bank's strategy to become a data driven organisation. Job
The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in
in line with the companys Data Architecture Roadmap, to advance technical thought leadership for the
purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure
intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning
solutions around big data that support the Bank's strategy to become a data driven organisation.
JHB001765-Laka-1 Join our dynamic IT Hub South Africa as a Data Scientist on the AI Platform team. You will leverage excellent teamwork abilities, and a passion for AI and data analytics. ESSENTIAL SKILLS REQUIREMENTS: - Strong
Reference: JHB001766-Laka-1 Looking for a dynamic Data Scientist to join our team at the forefront of AI
as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint
managing applications on Kubernetes clusters
- Data modeling and Database technologies (relational,
Essential Skills Requirements:
- Strong background in mathematics and good analytical and problem-solving skills.
- Any additional responsibilities assigned in the Agile Working Model (AWM) Charter.
Languages:
- C#, Python, SQL, PL/SQL
Advanced Data Streaming Platform Specialist. Focus on innovative IT solutions in SAP, Java, Cloud, Data Analytics and managing applications on Kubernetes clusters - Data modeling and Database technologies (relational,
the IFRS 16 accounting are timely and completely captured in monthly reports. Manging the IFRS 16 accounting and tools. Ability to analyse complex financial data, identify trends, and provide insights to support
(Finance) - Data Analyst Assets Management - Data Analyst Human Capital Management (HCM) - Data Analyst Knowledge (KM) - Data Analyst Quality Assurance (QA) - Data Analyst Work Force Management (WFM) - Data Analyst Analyst Data Collection and Cleaning: Collecting data from various sources, including databases and surveys accuracy and completeness. Data Analysis: Performing statistical analysis and data mining to identify patterns Power BI for data analysis and visualization. Insights and Recommendations: Interpreting data to provide