[xrecnet] Azure Data Engineer || Pleasanton - CA -- Immediate Interview

Hi,

 

Hope you are doing great!!

 

I have an urgent requirement with our client. Please let me know your interest.

 

Azure Data Engineer 

Pleasanton - CA USA, 

6 to 10 years

 

Must Have - **2-3 Experience on creating the frameworks towards building the data pipelines. (Mandatory) ·   Data Bricks etc., (Mandatory) ***

 

 

Good to Have:  Experience in Azure Data Migration project.

 

• 2-3 years of experience working on Data bricks, Azure Data Factory and other Azure data solutions ecosystems (Mandatory)
• 2-3 years of experience working on Spark SQL, Hive SQL, USQL. (Mandatory).
• 2-3 years of experience working on Spark, Scala and Python. (Mandatory)
• 2-3 Experience on creating the frameworks towards building the data pipelines. (Mandatory) · Must have experience on configure the data streams between Event Hub and Azure Service Bus with other integration systems such as Data Bricks etc., (Mandatory) ·
• Must have experience working with Onshore / Offshore model. (Mandatory) ·
• Azure Fundamentals Certification (AZ-900) and Azure Data Solution (DP-200 & DP-201) (Preferred). · 2-3 years of experience working on JAVA or other object oriented programming (Preferred).
• Extensive experience working on Big data technologies such has Hive, Pig and Map Reduce are preferred.
• Experience work with structured and unstructured data is must.
• Good understanding of data oriented projects for integration and analytics is must.
• Provide Business Intelligence and Data Warehousing solutions and support by leveraging project standards and leading analytics platform.
• Evaluate and define functional requirements for BI and DW solutions
• Build conceptual and logical models based on the functional flow of business in a scalable mode.
• Work directly with Business leadership and Application SMEs to understand the requirement and analyzing the source to fulfill the requirement.
• Propose and develop data solutions to enable effective decision-making, driving business objects or addressing the enterprise integration requirements.
• Analyze the data quality, data governance, compliance and other legal requirements on data storage; address all the required non-business but operational requirements during the design and build of data pipelines.
• Identify avenues on cost savings either by using in-house Cognizant accelerators or by building re-usable frameworks across the projects.
• Interpret data by building the models, charts and tables on reporting platform towards business intelligence requirements.
• Expert and Key point of contact between the data analyst, data scientists, and the business/application teams.

 

 

 

 

 

 

Thanks & Regards

 

Dev Chauhan Account Manager Tanisha Systems Inc Direct: 646-867-8810, Desk no. 212-729-6543 Ext 335 (EST) Email: devendra@tanishasystems.com Web: www.tanishasystems.com Address:99 Wood Ave South Suite # 308,Iselin, NJ 08830

                                                E-Verify, Certified Minority Business Enterprise MBE, Dun & Bradstreet CREDIBILITY CORP Certified

 

 

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