We are looking for a Data Analyst to join our client in the mining/construction industry based in Elandsfontein Johannesburg. Create data models and reports in a structured data format to enable data ingestion, transformation key business metrics and trends. Identify valuable data sources and automate collection processes, design understandable data visualization techniques. Design and implement data quality and data validation within ensure accuracy and consistency of data. Operate within various departments and assist in continuous business
space and has embarked on an exciting, strategic, data modernization program that will equip them to better looking for someone who can help to ensure that the Data Services deliveries to both internal and external functional, non-functional, and business aspects of the data pipeline and analytics solutions. Identify areas to validate the functionality, performance, and data integrity of the Azure Databricks environment. Utilize reliability of the data pipeline. Data Validation and Quality Assurance: Develop automated data validation scripts
An amazing opportunity for a Senior Data Engineer to join a multinational organization that produces work with feature teams to design and implement data extraction, cleaning, analysis, visualization, and database types to target data containers for the purpose of migrating data to cloud technologies If you Assist in creating data pipelines from source to target platforms. Experience in Data validation and verification to transform data from source to target for analytical purposes (Business Objects/Data Lakes) and migration
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
support. Documentation throughout all project phases, data migration strategy and execution, project go-live bottlenecks, reducing manual data intervention, avoiding unnecessary data capture and/or work effort duplication
clients or errors on devices to the relevant department for swift resolution Facilitate content changes updates Prepare weekend reports to ensure all data is captured accurately Create detailed monthly reports volume. Privacy: Data processed as per Privacy Policy. By applying, you agree to data handling. We safeguard clients or errors on devices to the relevant department for swift resolution Facilitate content changes updates Prepare weekend reports to ensure all data is captured accurately Create detailed monthly reports
clients or errors on devices to the relevant department for swift resolution Facilitate content changes updates Prepare weekend reports to ensure all data is captured accurately Create detailed monthly reports volume. Privacy: Data processed as per Privacy Policy. By applying, you agree to data handling. We safeguard
sector. Get ready to dive into the dynamic world of data-driven solutions, where every insight you uncover of functional requirements with the business departments. Your technical background should enable you Skills: SAP BW / SAP SAC. Data Modelling and data engineering skills. SAP BW 7.5 Data Modelling and BEX skills skills SAP BW4/HANA Data Modelling skills SAP BW4/HANA Query Modelling skills Any additional responsibilities
national and international specialist areas and IT departments to ensure continuous standardization and process system requirements, coordinate with specialist departments, and describe technical requirements as user implemented system solutions with specialist departments and market testers, assist with market introduction levels of test automation.
partners and other departments and maintaining data consistency across departments and process partners Azure or AWS or SAP BTP knowledge PostgreDB, Python data analysis Power apps or other low code tools SAP