suitably qualified and experienced DATA ENGINEER / SYSTEMS DEVELOPER for a well-established
data from various sources into a data warehouse or other storage systems Creating and optimizing data storage and several years of experience working with data systems. Familiarity with big data technologies such
be the main point of contact between Data Specialists, Systems Development Teams and Support Assist with coordinating of projects Ensure all auxilliary data systems are secure and functioning Ensure that gaps
This role requires a deep understanding of data historian systems, particularly OSI PI, to ensure the accuracy processes. Develop and maintain the OSI PI data historian system to ensure optimal performance. Analyze historical years of experience working with OSI PI data historian systems. Proven experience in data analysis, data
him/her accountable for architectures and/or data systems that promote data reliability, scalability and also frequent, in order to integrate external data systems with systems. Special working conditions Overtime
candidate will be expected to gather data from internal systems to support financial data as reported reported in Pastel, analyse data from internal systems to support the IFRS17 standard and application thereof thereof, reconcile data between internal systems and Pastel, and integrate internal systems with Vena database database. Gathering data from internal systems to support financial data as reported in Pastel; Analyse Analyse data from internal systems to support the IFRS17 standard and application thereof; Reconciliation of
Ensure synchronisation and alignment of data within operational systems. Ensure data integrity is maintained operational systems data and performance analysis Maintain and clean the core systems with respect to errors errors and data accuracy System changes will be defined by the business and must be communicated to the enhancements and improvements Eliminate data quality deficiencies, system errors and the misalignment of operations
Accountable for data interfacing with ancillary data systems: Netstock Pragma Supplier EDI's Qliksense Pay rationalization. Accountable for Supplier Master Data on ERP system: Supplier risk profiles and bank account Accountable for data interfacing with ancillary data systems: Regular review of supply lead-times and ensuring rationalization Accountable for Supplier Master Data on ERP system: Supplier risk profiles and bank account
for accurately inputting and maintaining data in our systems, ensuring data integrity and completeness into databases, spreadsheets, or other data management systems.