Our client requires the services of a Data Scientist. POSITION : Contract role for 3 months. REQUIREMENTS: experience: 4 - 6 yrs. Cost variance use case build. Data Science.
manufacture and installation of our products. Critical Dimensions : Review design information, site plans, and and manuals to determine critical dimensions for designs. Software Expertise: Solidworks Calculations: Perform
Manufacturing/Sewing environment Behavioural Dimensions Detailed orientated Motivated and deadline driven
business intelligence. Design and map data models to shift raw data into meaningful insights. Utilize Power with apt objectives Analyse previous and present data for better decision-making Transform business requirements publications Build multi-dimensional data models Develop strong data documentation about algorithms, parameters Power BI Define and design new systems Take care of data warehouse development Make essential technical and
Preparation, test Scenario, Test Case Design and Test Data - Selenium experience - Involved in Handover for for Coverage (Bonus) - Understanding of SQL and Data Extraction - Knowledge of tools like SOUPUI - Agile
used in all investigations. Data-base systems are used to gather plant data to assist in investigations investigations. Computer skills are required to analyse data and to compile reports. Analytical and interpretive skills
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise Client's core Applications. The ability to Analyze data and extract trends to ensure improvement of processes business Manage & own critical business process and data for (Benefit Statements, Valuations, AFS). Matric
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL software development ESSENTIAL SKILLS: Expertise in Data Intelligence and Business Intelligence Knowledge experience At least 3 years' experience building big data pipelines (ETL, SQL, etc) ADVANTAGEOUS TECHNICAL
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL Working Model (AWM) Charter ADVANTAGEOUS SKILLS Data and API Mining Knowledge on Security best practices setting up alerting pipelines. Be comfortable with Data Structures and Algorithms Understanding of integration Docker container creation and usage Familiar with data streaming services such as Apache Kafka Coordination Knowledge of Jira, Confluence and Agile methodologies Data Analysis ITSM knowledge User support ticket management
verifying, classifying, and recording accounts payable data