talented Data Solution Architect to join our dynamic team and play a crucial role in shaping our data infrastructure develop, and implement robust data solutions, including data warehouses, data lakes, and BI platforms. Conduct performance analysis, tuning, and administration of data solutions. Collaborate with cross-functional teams scalable data architectures. Leverage cloud platforms, particularly AWS, to deploy and manage data solutions solutions. Ensure data integrity, security, and compliance with industry standards and best practices. Required
developing, and maintaining master data management solutions to ensure data integrity, consistency, and accuracy role in implementing MDM solutions and supporting data governance initiatives. MDM Solution Development Development Design, develop, and customize master data management solutions using MDM platforms such as Informatica Implement data models, hierarchies, and relationships to support business requirements and data governance workflows, business rules, and data validation processes within the MDM platform Data Integration and Interoperability
Our client is seeking a mid-level Data Administrator who will be responsible for managing and maintaining support the data infrastructure needs of the company. Scope of the Role: The mid-level Data Administrator database issues, optimizing performance, and ensuring data availability. The role requires both independent necessitating strong communication and teamwork skills. The Data Administrator will contribute to strategic planning infrastructure improvements and support the organization's data-driven initiatives. Key Responsibilities: Database
Performance Tuning and Optimization Data Security and Backup Data Integration and Migration Database Design
Purpose The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the Company Data Architecture Roadmap, to advance technical thought leadership for the purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning and solutions around big data that support the Bank's strategy to become a data driven organisation. Job
Collaboration with team members from various departments within the business is key. This ensures that bottlenecks, reducing manual data intervention, avoiding unnecessary data capture and/or work effort duplication support. Documentation throughout all project phases, data migration strategy and execution, project go-live
support. Documentation throughout all project phases, data migration strategy and execution, project go-live bottlenecks, reducing manual data intervention, avoiding unnecessary data capture and/or work effort duplication Collaboration with team members from various departments within the business is key. This ensures that
stakeholders to shape data architecture and requirements collaboratively Craft data models and schemas tailored appropriate data storage solutions, including relational databases, data warehouses, data lakes, and MS Lead the implementation of data governance policies and standards Uphold data quality and integrity across organisation Ensure adherence to data security and privacy regulations Share data architecture strategies with strategic planning and technology selection for data and analytics initiatives Bachelor's degree in Computer
notification and training of releases. • Analysing system health based on reported problems and recommending and analytical skills with the ability to interpret data and make informed decisions • Excellent communicator
Analyst, you will play a pivotal role in driving data-driven decision-making processes within our organization gather business requirements and translate them into data analysis and reporting solutions; Represent MIS intelligence tools such as Qlik and SQL; Perform advanced data analysis to identify trends, patterns, and insights process optimization; Develop and maintain data models, ensuring data accuracy, consistency, and integrity; opportunities to improve data collection processes, data quality, and data governance practices; Provide