Beschreibung
Mandatory:• Solid hands on experience in a full lifecycle Data Analytics projects
• Solid foundation in Big Data Technology – DFS, Hadoop related stacks, Data Processing, Governance, Analysis Mechanisms (Statistics, NLP & Visual) & Machine Learning
• Solid knowledge and experience Azure Data Analytics services such as but not limited to Azure Data Factory, Azure Databricks, Azure Data Lakes, Azure SQL Datawarehouse, Azure Analysis services, Stream Analytics, Azure ML/AI, Cognitive etc.
• Knowledge and experience in Data ingestion tools like Streamsets, Aspera, IOT Hub/Even Hub, Kafka
• Knowledge and experience in Data visualization and other tools like Power BI, Alteryx
• Experience in building application deployment automation using CI/CD tools and other industry standard deployment and configuration tools.
• Solid experience with D&A technologies, architectures and patterns.
• In depth knowledge and experience with D&A solutions, reference architectures, DevOps models, Security, Scripting, Automation
• Demonstrated capacity to use standard modelling approaches, tools and model repositories
• Highly motivated and technically savvy
• Experience working in an Agile environment
• Substantial experience in IT roles such as Implementation, operations, consultancy, business analysis & D&A architecture
Preferred:
• A university degree, preferably in Information Technology, Information Management, Software Engineering, Statistics, Mathematics or related field
• Holds PMP, PRINCE, SCRUM or Big Data Analytics related certifications
• At least 8 years’ experience in roles where they held similar accountabilities to those listed above –with ‘enterprise scale’ solutions
• Strong interpersonal/communication skills, both oral and written. Good storytelling capabilities