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 [image: photo] *Dev Chauhan* *Account Manager* *Tanisha Systems Inc* Direct: 646-867-8810, Desk no. 212-729-6543 Ext 335 (EST) Email: [email protected] 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* -- You received this message because you are subscribed to the Google Groups "BlazeAdvisorUserGroup" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/blazeadvisorusergroup/CALwLjf_Mna1V38AbsWoEQF5yW7%3DYQAB3_quKHyoS3tYAYRc4EQ%40mail.gmail.com.
