contract requirement. As the Data Specialist, you will analyse and interpret data within the company to support Min 5 years experience as a Data Specialist. Must be very strong in Data Analysis. Knowledge of Retail Collect, store & manage data effectively. Analyse large sets of data to identify trends, patterns insights. Establish data quality standards & security measures. Translate data into understandable Power BI. Clean & process data to remove inconsistencies, ensuring data accuracy & reliability.
buildup initiative aimed at pooling highly skilled Data Engineers for upcoming opportunities in Africa. requirements of the data & analytics environment Analyse business or system requirements and data to enhance years in a data environment Experience with ETL processes and SDLC Database system and cloud data warehousing experience (relational databases, star schemas) Data Analysis, Design, and Architecture experience Ideally
and managing applications on Kubernetes clusters Data modelling and Database technologies (relational
Our client requires the services of a Data Engineer/Scientist ( Expert) - Midrand/Menlyn/Rosslyn/Home as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV. Experience working with Data Quality Tools
JHB002500-TR-1 We are recruiting for a Data Architect. Defining and designing the data integration architecture. Implement managing the Data Architecture landscape. Data modelling and to assist when working with complex Data and multiple multiple data sources. Management - Develop Master Data Strategy, Managing the Master Data processes. Establish data ownership and accountability across business directorates. Qualifications Bachelor's Experience in Data architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master
co. za Data Engineers are responsible for building and maintaining Big Data Pipelines using Data Platforms Platforms. Data Engineers are custodians of data and must ensure that data is shared in line with the information Py Spark. Boto3. ETL. Docker. Linux / Unix. Big Data. Powershell / Bash. Salary Market Related
co. za Data Engineers are responsible for building and maintaining Big Data Pipelines using Data Platforms Platforms. Data Engineers are custodians of data and must ensure that data is shared in line with the information Py Spark. Boto3. ETL. Docker. Linux / Unix. Big Data. Powershell / Bash. Salary Market Related
focus on delivering customised data warehousing design and development and data visualization to a global develop an understanding of business processes and data reporting needs. Critically analyze business requirements architect and implement design flows and data integration Develop data warehouse models and lineage documentation will be used by ETL developers to build out the data warehouse Produce technical/architectural specification documents Design and create ETL/ELT scripts for data warehouse and reporting tables Implement stored
experience Senior Data Specialist with the required: 10 years of comprehensive experience in data management Responsibilities: Data Management: Lead the development and implementation of data management strategies and security of banking data assets. Data Analysis: Conduct in-depth data analysis and interpretation within the banking organization. Data Governance: Establish and enforce data governance policies, standards industry best practices. Data Architecture: Design and maintain scalable and efficient data architectures, including
Our client requires the services of a Data Engineer/Scientist ( Senior ) - Midrand/Menlyn/Rosslyn/Home as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Unix Big Data Powershell / Bash ADVANTAGEOUS TECHNICAL SKILLS Demonstrate expertise in data modelling complex data sets. Perform thorough testing and data validation to ensure the accuracy of data transformations