a Master Data Specialist to ensure the accuracy, consistency, and integrity of master data across various degree in computer science, Information Systems, Data Management, Business Administration, or a related with systems, with specific experience in systems data quality control and maintenance (e.g. Product lists cleaning and validating large sets of data Understanding of data governance and quality principles Solid Solid understanding of fundamental data concepts The Reference Number for this positio n is NG59243 which
and IT Methodology processes is recruiting for a Data Scientist – AI Platform to offer a deep insight
SAP, JAVA, Azure, Cloud is looking for an Azure Data Engineer . The unique positioning gives a deep insight maintaining Big Data Pipelines using Data Platforms Custodians of data and must ensure that data is shared need-to-know basis Experience using programming skills in data related programming languages and frameworks, such Kusto Experience with Azure Data Solutions: Azure Data Factory, Azure Data Explorer, Azure Databricks Profound technical understanding for Data Engineering and Data Warehouse Design Familiar with modern
international expertise has a vacant position for an AWS Data Engineer to work within a team solving complex problems expertise in data modelling Oracle SQL Exceptional analytical skills analysing large and complex data sets Perform testing and data validation to ensure the accuracy of data transformations Building data pipeline using using AWS Glue or Data Pipeline, or similar platforms Preparing specifications from which programs will technical documentation and artefacts Working with Data Quality Tools such as Great Expectations Developing
of an Intermediate Data Engineer . You will play a crucial role in leveraging data-driven insights to Mathematics, or a related field 4 years of experience in data analysis, machine learning, and predictive modelling or SQL Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be Cloud) Knowledge of big data technologies (e.g., Hadoop, Spark) Experience with data visualization tools and develop metrics for measuring the success of data science initiatives Reference Number for this position
R650 to R750 per hour , negotiable on experience. Contact Garth on garthze-merge.co.za or call him on 011
Per Annum negotiable on experience and ability. Contact Bryce a t bryceme-merge.co.za or call him at 011