institution in South Africa, is seeking a Data Solutions Architect to join Purpose
Responsibilities:
Senior Data Engineer Are you a talented senior data engineer looking for your Dream Developer Job? OfferZen working as a data engineer Hands-on, practical experience dealing with large amounts of data Experience Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience working in an English speaking environment working with SQL and NoSQL databases Experience with data pipeline and workflow management tools: Azkaban detail Strong analytical skills Ability to combine data from different sources Nice to have: Experience
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
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
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
of an Intermediate Data Engineer who will play a crucial role in leveraging data-driven insights to drive measuring the success of data science initiatives. Design and implement data visualisation tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modelling SQL. Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be
Intermediate Data Engineer Are you a talented intermediate data engineer looking for your Dream Developer working as a data engineer Hands-on, practical experience dealing with large amounts of data Experience Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience working in an English speaking environment working with SQL and NoSQL databases Experience with data pipeline and workflow management tools: Azkaban detail Strong analytical skills Ability to combine data from different sources Nice to have: Experience
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton Telecommunication · The Data Engineer will be responsible for transforming data into actionable insight