Hai,
Greetings from Maintec Technologies...!!!1
Requirement : Azure Sr.Data Warehouse Developer -Wipro - Bangalore
Role : Contract
Notice Period : Immediate / 15Days / 30Days
Experience : 8 -10Years
Relevant Experience : 5-8 Years
Location : Bangalore
Kindly Check with the below given JD and share your Updated CV along with acopy of pancard to bi*****m@ma****c.in
ESSENTIAL DUTIES AND RESPONSIBILITIES:
To perform this job successfully, an individual must satisfactorily perform each essential duty. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.
Create and maintain optimal data pipeline architecture on Azure platform.
Develop batch processing solutions by using Data Factory and Azure Databricks.
Delivering a Data Warehouse in the Azure Cloud.
Design relational and non-relational data stores on Azure.
Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc..
Developing Big Data Solutions with Azure Machine Learning.
Strong interaction with business departments to provide consultative support for digitization efforts, as well as close collaboration with the Business Technology management, focused on future innovation topics.
Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT colleagues.
Design & Build for any API Development or SQL DB development.
Providing service management, orchestration, monitoring and management requirements of Azure cloud platform.
Create data tools / products for analytics and data scientist team members that assist them in building and innovative solutions that drive tangible business value.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Design security for source data access. Chose the appropriate authentication mechanism, (ie Azure Active Directory (Azure AD), etc).
Design for real-time processing by using Stream Analytics and Azure Databricks.
QUALIFICATIONS:
The qualifications listed below are representative of the minimum knowledge, skill, and/or ability required.
KNOWLEDGE
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
Keyskills: azure databricks ms azure cloud Azure DEvops azure ML Big Data Microsoft Azure ma azure cloud SQL Azure azure active directory