wizardry? A well established retailer is seeking a data capturer with Excel and Vlookup expertise for a 3 month
Responsibilities:
Data Specialist IT & Accounting (POS24147)
Somerset West
R 20 000 on-time upload of financial data. Must have experience in Data Analysis, Data Processing as well as Accounting/ Requirements:
for the Data Analyst Role:
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
overseeing a team of data verifiers, ensuring they maintain accuracy and efficiency in data verification processes Train and manage Data Verifiers · Develop and maintain quality control procedures for data verification · Motivate and coach data verifiers to achieve individual and team goals · Address and resolve data discrepancies Escalate complex data quality issues to designated personnel · Ensure adherence to data security and privacy report data verification metrics · Maintain a positive and productive work environment for the data verification
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