*Hi * *Please lookup the below position and if you feel comfortable ,then please send me your updated resume. *
*Position : * *Big Data Application Architect Location : Alpharetta, GA * *Duration : 6+ Months * *Interview : **Phone then Face to Face * Job Description · In this role, you will be responsible for articulating an architectural vision, conceptualizing architectural approaches, developing and validating the architecture and high level solution design against business requirements. Job Responsibilities · Enforce engineering methodology, reviews engineering design packages and drives to minimize technical exposure and risks on projects. · Act as a technical advisor that collaborates with both business and technical stakeholders, sets direction, builds consensus, mediates conflicts, and helps to create an environment which solicits contributions from all participants · Evangelize best practices for application engineering, component re-use, architecture design and technical standards, while maintaining an awareness of new / emerging technologies and their potential application to existing service offerings. · Build a shared understanding of the solution with the capacity for communicating that vision though technical materials, verbal presentations, and facilitating inter-team discussion. · Defining the architecture and framework within an enterprise for Big Data including structured data, non-structured data, real-time data and analytics. · Extending the industry-recognized best practices within the Enterprise Data Architecture to include Hadoop. · Defining the overall analytics architecture (patterns, methods, blueprints, etc.) extending beyond Hadoop · Defining technical and data architectures for warehouse and reporting marts · Evaluating and recommending specific Big Data and analytics technologies Job Requirement · Minimum 6 years’ experience as a software architect, providing technical leadership/guidance/mentorship · Extensive, real-world experience designing enterprise software and defining solution architectures and technology (UML, design patterns, SOA, EAI, BPI, etc.) · 5+ years’ experience in design and implementation of big data systems involving large data volumes · Demonstrated experience in designing and deploying Big Data architectures within organizations (e.g. patterns, anti-patterns, approaches, best practices, etc.) · Experience with data ingestion technologies (e.g. Aspera, MoveIT, Azure Data Factory, SSIS, Pentaho, Alteryx) · Bachelor's Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) · Excellent understanding of data platforms in the context of Big Data (e.g. HD Insights, HortonWorks, MAP R etc.) · Hands-on experience with the overall Hadoop Stack (Azure Data Lake, HDFS, MAP Reduce, Pig/Hive, HBase , Waterline, Ambari, Oozie, Falcon, etc ) · 5+ years’ experience in advanced analytics and demonstrated skills in visualization tools such as (PowerBI, Tableau, SPSS, Spotfire, Scrapinghub, etc.) · Experience with machine learning tools such as (Azure ML, IBM, AWS, etc.) · Demonstrated proficiency in descriptive, predictive and prescriptive analytics · Demonstrated knowledge of industry trends and standards · Familiar with architecture principles and frameworks (TOGAF, Zachman, Gartner, DOD etc.) · Exposure to application security technologies and approaches · Experience in full development lifecycle phases · Familiarity with various requirements gathering techniques · Familiarity with configuration management concepts and tools Regards , Kailash Negi VSG Business Solutions 221 Cornwell Dr Bear, DE 19701 Email ID : *kail...@vsgbusinesssolutions.com* <kail...@vsgbusinesssolutions.com> Phone: 302-261-3207 x 102 -- You received this message because you are subscribed to the Google Groups "American Vendor--IT Consulting" group. To unsubscribe from this group and stop receiving emails from it, send an email to sap-vendor+unsubscr...@googlegroups.com. To post to this group, send email to sap-vendor@googlegroups.com. Visit this group at https://groups.google.com/group/sap-vendor. For more options, visit https://groups.google.com/d/optout.
