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
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
meet clients' needs. This team is searching for a Data Analyst, the candidate will be responsible for collecting collecting, analysing, and interpreting complex data sets to provide valuable insights and support strategic experience Responsibilities: Gather and consolidate data from multiple sources, including internal databases third-party vendors. Cleanse, validate, and preprocess data to ensure accuracy, completeness, and consistency consistency. Utilise statistical techniques and data mining algorithms to analyse large datasets and extract meaningful
Reference: NFP014235-ASl-1 Take your data science skill set to the next level About Us: We leverage cutting-edge algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's preferred. 5 years proven experience as an AI Analyst, Data Scientist, or similar role. Proficiency in programming scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent problem-solving
motivated Data Engineer to join their dynamic team as an integration specialist. As a Data Engineer, maintaining their data infrastructure and pipelines. You will collaborate closely with the data scientists, reliable data flows throughout the organisation. The ideal candidate has a strong background in data engineering scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources sources. - Develop and implement data warehousing solutions. - Collaborate with cross-functional teams
Dynamic Team Are you passionate about transforming raw data into actionable insights? Do you have a knack for perfect opportunity for you We are seeking a talented Data Analyst with a flair for visualization to join our collaborate with cross-functional teams to drive data-driven decisions. Key Responsibilities: Analyze Utilize cutting-edge visualization tools to present data in a clear and impactful manner. Collaborate with updated on industry trends and best practices in data analysis and visualization. Qualifications: Bachelor's
Description Data Steward Location: Midrand Salary: R25 000 – R35 000CTC Mission The Data Steward will the local ERP system Provide general and technical data on existing part numbers, add local translation