WE ARE COGNIZANT ARTIFICIAL INTELLIGENCE

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.

*You must be legally authorized to work in the United States without the need for employer sponsorship/ visa transfer now or at any time in the future *

JOB TITLE: Tech Lead

DESCRIPTION: 

Roles/Responsibilities 

• As part of Environment Maintenance      
  
  
  • Memory Management  
  
  
  • Manage Scheduling queues & Messages 
  
  
  • Performance Management         
  
  
  • Monitor Clusters Health check    
  
  
  
  


• Regular Back up & recovery         


• Node Commissioning & Decommissioning             


• Hive connections,Kafka ,Spark ,Map Reduce,Tez


• Secondary Skills – Azure HDInsight,Databricks,Storage ,ccounts,Storage explorer,Key vaults


• User Group Administration ,


• Privilege Checks                


• Code Deployment to Production               


• Server Log Analysis


• 10.Scheduled Report Monitoring   & Back up Monitoring     

Required Qualifications 

• 2-3 years of experience working on Data bricks, Azure Data Factory and other Azure data solutions ecosystems (Mandatory)


• Very good experience in administering SQL Server, Azure SQL DB.


• Good experience in Azure Synapse and Azure Storage.


• Administration of all flavors of SQL server. 


• Includes provisioning of authentication to above databases integrating with Active Directory


• DB administration activities such as Maintaining Azure Storage and ability to automate tasks using Azure agent jobs, Optimize IOPS, IQPs


• Creating tables with the Data Model guard rails, Index management, tuning, HA/Scaling as required.


• Perform Table & Query Optimization using IQP, DMVs etc


• Working knowledge of Azure’s DevOps and Azure boards.


• Ability to work and follow architectural & DB administration guidelines


• Ability to deploy DBs using Manual or Azure deployment templates


• Ability to provide Point of View on Scalability/ HA/ DR / Security of current and future state DB Architectures


• Participate in Azure migration effort and consult on Online - Offline migration modes


• Understanding of Azure AD entities and security principals.  Implement and maintain the Azure AD.


• Hands On implementation of Data Security using TDE ( Transparent Data encryption ), Object Level Encryption, Dynamic Data Masking & Azure Key Vault


• Be able to monitor and report DB performance using built in tools like - Azure SQL Database Intelligent Performance and work with configuration parameters like AutoClose, AutoShrink, AutoGrowth


• Strong knowledge and skill with different ADF pipeline data movement activities, data transformation activities (available OOB/custom) and linked services.
  
   


• Strong knowledge of Azure data ecosystem for compute and storage.


• Knowledge of ADF Dataflows


• Knowledge of ADF Fault Tolerance, load balancing and distributed processing capabilities.


• 3+ years of Programming language experience with .NET/Python and SQL.

#LI-PS1 #CB

Technical Skills

* Proficiency Legends