Desired Experience:
Big Data, Business Intelligence, Spark, Data Warehouse, Hadoop, NoSQL, AWS
AWS Services:
EC2,Kinesis,S3,Cloud Formation,AWS Glue,MAP Reduce,Auto Scaling, Serverless technologies
Language : JS , NodeJs, JAVA, Python
Experience with replication, high availability, archiving, backup & restore, and disaster recovery/business continuity data best practices.
An experienced Big Data Solutions Architect well versed in designing big data architectures that leverage AWS's cloud technology.
Should be proficient in Real Time and Batch-based Big Data processing, Business Intelligence, on AWS.
Should have executed end to end implementation/migration of a Big Data project using Amazon EMR for Hadoop & Spark.
Should be well versed in real time processing using Amazon Kinesis suite,
Should be aware of different storage options in AWS
Should perform the role of SME for all things Big Data, prepare reference implementations, and presentations to enable customers and 3rd parties to fully leverage AWS Big Data services.
Exp in design/implementation/consulting experience of large-scale data solutions, including data warehousing, storage, and business intelligence.
Deep experience with DBA storage architectures, ETL solutions, Relational and NoSQL DB's, Hadoop, Spark, and object storage at scale.
Technical consulting and architecture with large-scale engagements.
Experience using and adapting to new technologies.
For more details call at 9953328*** Neha

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