advocating that IT complements business. Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
agile development team (Squad) Tribe and Chapter Model.
Your Technology Stack should inc g technical/ software engineering background (‘hands-on’) • Strong application/software development or MQ), as well as the related security requirements/models. • Experience with application database management Strong technical/ software engineering background (‘hands-on’) • Strong application/software development or g technical/ software engineering background (‘hands-on’)
agile development team (Squad) Tribe and Chapter Model. Your Technology Stack should include: Strong technical/ technical/ software engineering background (‘hands-on') • Strong application/software development or programming ), as well as the related security requirements/models. • Experience with application database management Strong technical/ software engineering background (‘hands-on') • Strong application/software development or Strong technical/ software engineering background (‘hands-on') Strong application/software development or
full of energy and ambition, hands-on and not afraid of making your hands dirty, this is the right position responsibilities assigned in the Agile Working Model (AWM) Charter ESSENTIAL QUALIFICATIONS/EXPERIENCE
expertise in Oracle SQL, showcasing prowess in data modeling. Create technical documentation and artifacts API development is advantageous. Agile Working Model. Qualifications : Bachelor's degree in IT, Business Experience: Proficiency in Trino Distributed SQL queries. Hands-on experience with Glue (ETL Scripting), CloudWatch and CloudFormation. Expertise in technical data modeling and schema design, emphasizing practical implementation
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka
responsibilities assigned in the Agile Working Model (AWM) Charter Smart mind, willing to learn new things Possibly travel to Germany as and when required Hands-on & positive can-do attitude High proficiency
Experience and Skills Required: Minimum of 5 years of hands-on experience in IT technologies. Expertise in Windows PowerShell scripting Understanding Agile Working Model (AWM) & having to have worked in an Agile environment
extract data and write data queries).
funds and retirement annuities, and developing data models to support decision-making processes. The environment retirement annuities through improved data analysis, modelling, and strategic insights. Responsibilities Requirements from complex datasets. Data Modelling : Develop and maintain data models to represent pension fund and designing logical and physical data models using industry-standard modelling techniques. Process Optimization expertise in data modelling techniques and tools, such as ER modelling, dimensional modelling, and data visualization