As the Senior Azure Data Engineer, you will design and build data services and solutions within the Azure data framework / ecosystem. Accountabilities include the development of Azure data platforms that can support the data analytics requirements of the companys business community, data science use cases, as well as the data management functions that govern and support the use of data across the enterprise. This will be a hands on Azure technical expertise role. You will be expected to ensure our Azure data platform delivers scalable solutions that transform data to insights which lead to tangible business value.
SKILLS AND ABILITIES
10 years of experience in Microsoft technologies including SQL.
At least 5 years as a Sr Developer with at least 3 years hands on experience as Azure Data Engineer building large scale Azure data solutions.
At least 5+ years of experience in Azure based data solutions.
At least 3+ years of experience on working with large projects including the most recent project in the cloud (Azure) or on prem with a focus on Azure Data services.
At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms.
At least 5+ years of demonstrated experience at least in the most recent 2+ years of designing and delivering solutions using Cortana Intelligence suite of analytics services part of Microsoft Azure including Azure Machine Learning Studio, HDInsight, Polybase, Azure Data Lake Analytics, Azure Data Warehouse, Streaming Analytics, Data Catalog, R/R Studio
Experience in designing and building logics required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Experience within Data Security design, including but not limited to:
Choosing the appropriate authentication mechanism, such as Azure Active Directory (Azure AD)
Defining strategies for data encryption for data at rest and in transit
Experience partnering with Business Analysts and Data Scientists to enable effective and efficient data preparation and delivery
Experienced in vendor management and working with 3rd parties onshore & offshore.
Experience working in a global team.
Experience working in an Analytics / Big Data solutions on MS Azure Cloud
Experience with code management tools, automated testing
Experience creating and maintaining optimal data pipeline architecture on Azure platform
Experience developing batch and real-time processing solutions by using Data Factory and Azure Databricks
Familiar with AGILE and Azure DevOps methodology
Hands on PoC capabilities are needed to prove a particular architecture concept
Azure Native Services experience across Data Fabric and Service Fabric
Experience in Application modernization from legacy on-premise data architecture platform technology stack to modernized Azure Cloud base Architecture.
Experience with Git, NoSQL Data Solutions, Microsoft Azure, HD Insights, Azure ML, DataBricks ML Flow, R or Python.
Must have excellent communication skills.
Please feel free to contact us at vr**********a@va***e.com
@8860929*** forward to assisting you in finding your next assignment
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VARITE is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, caste, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Regards
Vrinda Khanna - Recruiter
Keyskills: Azure data factory databricks data engineer Sql Server