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
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
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
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
translate business requirements into Data/IT requirements. Data extraction use multiple languages (Sql) CDEs (Critical Data Elements) source to target mapping (STTM), including knowledge of data dictionaries dictionaries Taxonomies Data Transformation Advanced data analysis using excel (Pivot tables) and the ability to Tools Data Remediation and associated activities: Data Remediation planning and tracking Data quality quality dashboards (design and implementation) Data Governance Compliance Knowledge of project assurance and
translate business requirements into Data/IT requirements. Data extraction use multiple languages (Sql) CDEs (Critical Data Elements) source to target mapping (STTM), including knowledge of data dictionaries dictionaries Taxonomies Data Transformation Advanced data analysis using excel (Pivot tables) and the ability to Tools Data Remediation and associated activities: Data Remediation planning and tracking Data quality quality dashboards (design and implementation) Data Governance Compliance Knowledge of project assurance and
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
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