entertainment industry is seeking a Data Engineer. In this role, you will manage projects by documenting installations into potential technology innovations, delivering a data architecture that supports future business growth customers, staff, and gambling boards. As a Data Engineer, this role will allow you to work on large-scale Certified: Azure Solutions Architect Associate. Minimum of 5 years of experience as a Data Engineer. Minimum Minimum of 3 years of experience building data pipelines including. Knowledge of developing both multidimensional
entertainment industry is seeking a Data Engineer. In this role, you will manage projects by documenting installations into potential technology innovations, delivering a data architecture that supports future business growth customers, staff, and gambling boards. As a Data Engineer, this role will allow you to work on large-scale Certified: Azure Solutions Architect Associate. Minimum of 5 years of experience as a Data Engineer. Minimum Minimum of 3 years of experience building data pipelines including. Knowledge of developing both multidimensional
Client a Global Tech firm is seeking a Senior Data Engineers to join their team in Randburgon a contract be fully vaccinated. The Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between the source system (golden/trusted) and the target database database (LOB), hence providing good quality data by applying the necessary framework/s and governance to whoever and sustainable solutions from the planning stage through to the productionised solution. Analyse, interpret
Hiringnow Currently hiring for Data Engineer for one of the banking clients based in Johannesburg. Min Min of 5-8 years' experience in data engineering • Strong back end and front-end development skills • Hive o Ab Initio (a bonus) o Data API's • Will be required to build data warehouse components on Terradata
Data Test Engineer As a data test engineer working in an agile project methodology to automate functional non-functional, and business aspects of the data pipeline and analytics solutions. -Identify areas suitable for test to validate the functionality, performance, and data integrity of the Azure Databricks environment. -Utilize the reliability of the data pipeline. · Data Validation and Quality Assurance: Data Validation and Quality automated data validation scripts to ensure the accuracy, completeness, and consistency of data processed
based in Sandton is looking for an intermediate Data Engineer in the Risk Technology division. NB: This is Designing and building end to end BI solutions, that will extract data from multiple systems, transforming transforming and loading into multiple reporting data warehouses. Working with end users and analysts on requirements provides estimation to the management. Supporting existing BI Platform, reverse engineer and improve processes framework, data validation framework. Assist in the migration to an off-premises Cloud Solution (Specifically
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We are seeking a dynamic and experienced Sales Manager to join our team. The ideal candidate will have Bachelor's degree in mechanical or electrical engineering. An advanced degree in Business Administration
you a dynamic and seasoned project manager with a passion for data-driven initiatives? Do you thrive in cutting-edge projects and help us shape the future of data services. Our client in the Financial Services sector sector is currently looking for a Senior Data Services Project Manager for a 12-month renewable contract role role. Key Responsibilities: Lead Complex Programs: Manage large-scale, enterprise-level projects from inception within budget. Drive Data-Related Initiatives: Spearhead projects involving data integration, transformation
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Data Quality Management:
Develop and implement a data quality framework
completeness, and consistency of data within Global Markets.
Establish data quality standards, metrics
improve data quality.
Provide guidance and support to data owners and stakeholders on data quality
quality management best practices and tools specific to Global Markets.
Data Governance:
Implement data governance frameworks, including data attestation and data lineage, to ensure