Description
Solid hands on experience in a full life cycle 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