Reference: NFP014178-RDL-2 Are you a skilled data enthusiast with a knack for business analysis? We are talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial products and processes under analysis Investigate data integrity issues alongside the wider team and propose propose viable solutions Communicate complex data insights to both technical and non-technical stakeholders teams to develop data-driven solutions and strategies Establish and implement data validation protocols
Finance Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation experience and understanding in designing and developing data warehouses according to the Kimball methodology processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge
primary role of the Data Protection Officer is to ensure that all data subjects (data from, staff, customers protected and conform to data governance policies. • Enforcing the Data Management and Data Breach Prevention and follow up on logs with card data and personal data and ensure data subjects are stored correctly or especially in a Hybrid environment. • Knowledge of Data Lost and Data Classification. • Good communication skills
production databases while ensuring high levels of data availability. This individual is also responsible goals for production databases in conjunction with data owners and department managers. Work with application disaster recovery and data archiving to ensure effective protection and integrity of data assets. Acquisitions and allocate physical data storage for database systems. Plan and coordinate data migrations between systems experience Experience in DB2 LUW data base technology and tools (Data Server Manager) Experience in troubleshooting
management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical statistical analysis to large, structured and unstructured data sets. Responsibilities: Model complex business problems machine learning models from and utilises distributed data processing and analysis methodologies. Competent such as HDFS / Spark / Kafka. Provide input into Data management and modelling infrastructure requirements systems, are understood and adopted relating to data collection, integration and retention requirements
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
searching for a technical specialist. The purpose of the Data Specialist is to use their database, software engineering the necessary data is properly stored on the cloud platform and is available to the data scientists. Experience modelling of data Systems engineering and implementations experience Experience on the data services on Plan Design Data modelling using: Table structures Store Procedures SSIS Packages SQL Cloud Data Services: Implementing data pipelines using cloud infrastructure and services No-SQL experience on the cloud Data engineering
software development space requires an experienced Data Engineer to join their team. Your main responsibility designing, developing, and maintaining data warehouses and data lake solutions for clients. Qualifications: experience in data engineering Strong data warehousing and data lake architecture experience Data Vault and SQL experience Big data experience such as Hadoop, Spark, AWS EMR Experience with data streaming technologies KPAs: Design and develop data warehousing and data lake solutions Ensure data accuracy Implement ETL processes
The data engineer is responsible for expanding and optimizing our data and data pipeline architecture well as optimizing data flow and collection for cross functional teams. The Data Engineer will support database architects, data warehouse managers, data analysts and data scientists on data initiatives and will will ensure optimal data delivery architecture is consistent throughout ongoing projects. Key Responsibilities: Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional
Are you a seasoned Data Engineer with a strong focus on staging high-quality data? Are you passionate toolsets, and database technologies to drive effective data management solutions? If so, we have an exciting Services industry, is seeking a highly skilled Senior Data Engineer to join their dynamic team. In this role robust data pipelines, ensuring the availability, reliability, and accessibility of our data assets. Your expertise in data warehousing principles and experience with Hadoop components will be invaluable