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pack, hot fix installation and writing of various admin SQL scripts - SSIS package troubleshooting and developer
SA ID can apply. 5 years of experience as an IT Data Governance Lead with application experience (SAP co .za The Data Governance Lead is responsible for ensuring the effective working of the data governance gather their data governance requirements, to understand their data, their (Meta) data needs and business Workout the enterprise data governance strategy and roadmap, aligned with the Chief Data Officer. Develop and and implement data governance framework, policies, data governance standards, data protection standards
experience with – MuleSoft Integration experience (admin, operational and development with be advantageous) CodeBuilder, CodeDeploy). Analytics tools and Big Data Platforms experience like Elastic Search, Kafka
the lineage and data flow design aspects of the program. This includes creating data flow diagrams (DFDs) (DFDs), defining data models, ensuring data lineage, and implementing data governance policies on AWS software development with a focus on data lineage, data modeling, and data flow design. Proven experience with particularly in the context of data management and governance. Strong understanding of data governance principles practices. Proficiency in creating data flow diagrams (DFDs) and data models.
Chain Management (SCM) to lead the extraction of data from our existing Oracle system for handover to understanding the data requirements of the new SAP ERP system, extracting relevant SCM data from the Oracle ensuring the integrity and accuracy of the data transfer . Data Analysis and Requirements Gathering: Collaborate understand data requirements and mapping for SCM modules. Analyse existing Oracle SCM data structures and relationships to identify relevant data for extraction . Data Extraction and Transformation: Develop
as an AWS Data Engineer (Expert) and leverage your skills in building and maintaining Big Data Pipelines expertise in Python, SQL, and AWS services to drive our data initiatives forward. Be part of a collaborative where your contributions ensure accurate and secure data management. ESSENTIAL SKILLS REQUIREMENTS: - Technical ETL - Docker - Linux / Unix - Big Data - Powershell / Bash - Cloud Data Hub (CDH) - CDEC Blueprint - Any ADVANTAGEOUS SKILLS REQUIREMENTS: - Expertise in data modelling with Oracle SQL. - Exceptional analytical
an Expert AWS Data Engineer in South Africa. Design, implement, and optimize Big Data Pipelines using using AWS services. Ensure data integrity, security, and compliance while collaborating with teams to integrate expertise in AWS technologies and data engineering to drive impactful data solutions. Key Responsibilities: implement, and optimize Big Data Pipelines using AWS services. - Ensure data integrity, security, and compliance documentation. - Conduct thorough testing and validation of data solutions. - Stay updated with industry trends and
months fixed term contract and contribute to their data-driven approach to financial management and decision-making of financial data. The ideal candidate will possess a strong background in finance, data analysis, and Qlik. Collaborate with finance teams to understand data needs and provide actionable insights to support decision-making. Design and implement data models, ETL processes, and data warehouses to facilitate comprehensive regular data validation and quality checks to ensure the accuracy and integrity of financial data. Provide
responsible for managing and analyzing historical data to support our operational and strategic objectives objectives. This role requires a deep understanding of data historian systems, particularly OSI PI, to ensure efficiency of data collection and analysis processes. Develop and maintain the OSI PI data historian system to ensure optimal performance. Analyze historical data to identify trends, patterns, and anomalies. Migration working with OSI PI data historian systems. Proven experience in data analysis, data management, and report