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 Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash Experience in working with Enterprise Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV etc. Experience working with Data Quality
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
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
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
My client in the government sector is looking for Data Scientist x 2 Location: Onsite, Pretoria Contract tools e.g SAS Responsibilities Data acquisition, data cleansing, data transformation Machine learning make predictions and built intelligent systems Data Scientist
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
My client in the government sector is looking for Data Quality Specialist x2
Location: experience in ETL,SQL, Data Cleansing
Responsibilities
Data profiling, cleansing integrity) of data
Defining data quality standards
Ensure adherence and conformance to data quality standards
Developing data quality matrices and dashboards
Performing data audits and reviews
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
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise role As a Data Engineer you will utilize your knowledge of Integrations, Automations, Data Management Management, Data Modeling. You will collaborate with the Business Intelligence team, Product Development teams teams, Cloud Operations teams, and the Data Engineering team to curate a high-quality dataset to serve your