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
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
NWA003452-NBh-1 We are currently seeking a skilled Data Analyst who is proficient in SQL to join our team role in extracting, analyzing, and interpreting data to provide valuable insights that will guide business Querying databases using SQL to extract and manipulate data for analysis. Developing and maintaining SQL scripts to understand data requirements and deliver actionable insights. Participating in data quality assurance processes to ensure accuracy and reliability of data. Qualifications: Bachelor's degree in Computer Science
a Data Engineer with the capabilities of utilising data, machine learning the effective use of data by utilising cutting-edge technologies and model data preparation.
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Our client is seeking a vibrant Data Analyst to embark on a 6-month contract journey within a dynamic member of their Operations team, you will spearhead data insights and reporting strategies aimed at maximizing raw data to produce bespoke stock and sales reports for stakeholders
Reference: JHB000041-ZE-1 Cloud Data Engineer (Azure, Contract) We have a requirement, at our financial financial services client, for a senior Data Engineer with extensive technical delivery and experience in the design, build, securing, monitoring of data pipelines and data stores to applicable architecture, solution suitable technologies/approaches and quality end-to-end data solutions to deliver engineering excellence. Essential solutions that collect, manage, and convert raw data into usable information, share expert technical
business units, that contribute to the monetisation of data through the development and delivery of advanced principles that find hidden patterns and associations in data used to influence business strategy, inform channel