Job Description:

• Relevant Skill: SQL DB, T SQL, Azure Data Factory, Power BI, Azure Dev Ops, ADLS
• Primary Skill: SQL DB, Azure Data Factory
• Good knowledge in Business Intelligence and Data Warehousing concepts.
• Ability to develop and maintain pipelines in Azure Data Factory understand best practices of bringing on-prem data to the cloud. File loading, compression, parallelization of loads etc.
• Working knowledge and/or understanding of Azure-based tools and services that support data storage, e.g. Azure SQL, Blob and Table Storage, Azure SQL Data Warehouse, Azure Data Bricks
• Understanding of Data Lakes and Data Lake Architectures best practices in data storage, loading, retrieving data from data lakes. Should have delivered at least 1 project in Azure Data Lake
• Nice to have Expert knowledge in .NET, C#, SQL, Web API, NOSQL

Azure AI/ML

• 5+ years of experience on Python programming, OO design, threading, multi-processing, design patterns, etc.
• 2+ years of hands on experience on implementing automating Machine Learning operating using Azure ML (Model deployment, Scoring, Training, Model Containerization)
• Must have configured and setup Branching, Merging and Tagging using Azure Repository.
• Experience in configuring and building scripted ADO pipelines leveraging Service connections, Key Vaults, Service Principals etc.
• Good to have: Ability to Setup & Collecting Resource metrics and Infrastructure Logs. Setup Log Analytics Workspace. Knowledge on Azure resources/services such as Key Vaults, Az Monitor, ML Workspace etc. to build platform