(IPA) is offering an exciting position for a Product Data Engineer. In this role, you will play a pivotal Information Technology Data Analysis Computer Science Preferred Qualifications: Degree in Data Engineering AWS Solution Architect AWS Certified Database Speciality Data Warehousing certification Minimum Experience: At within management information systems (MIS), data warehousing, data transformation information systems, or systems analysis Proven experience in: A relational data warehouse (e.g., SQL server, Oracle, etc.), and
Software/Tech industry with the ability to interpret data and make data-driven recommendations. DUTIES: Develop and engagement, and satisfaction levels. Analyse customer data, usage patterns, and behaviour to derive insights Analytical mindset with the ability to interpret data and make data-driven recommendations. Strong organizational
Software/Tech industry with the ability to interpret data and make data-driven recommendations. DUTIES: Develop and engagement, and satisfaction levels. Analyse customer data, usage patterns, and behaviour to derive insights Analytical mindset with the ability to interpret data and make data-driven recommendations. Strong organizational
credit policy, credit scoring and provisioning System data Define, prioritize and deliver changes. Be a driving and collaborate with stakeholders, primarily the Data and Credit teams. REQUIREMENTS: 2 Years of relevant
reference and reporting. Work with developers and data scientists from other teams. Work closely with their development languages Experience in working with Big Data Experience with open-source software implementation
Interact with internal and external customers. Provide data and reporting of trends to the team and others in
cloud-based applications. Apply CBPR principles to ensure data privacy and protection throughout the software development
in the existing codebase. Implement security and data protection measures, following industry best practices
understanding of Object-Oriented design principles, data structures, algorithms, and design patterns. Experience