Big Data Architect with 3Scale Skills Salary

Required Qualifications 5+ years of consulting experience in big 10 consulting firms At least 10+ years of experience in designing, architecting and implementing large scale data processingdata storagedata distribution systems At least 5+ years real time and streaming experience in Azure based solutions (HD Insights, Hive, Hbase, Kafka, Spark, J2EE) Most recent experience on working with large scale Azure project with an emphasis on building a large scale Data platform At least 3+ years of building framework including ingestion, transformation, Dev ops, and automation At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of HadoopDistributed platforms (preferably Azure) At least 5+ years of demonstrated experience at least in the most recent 2+ years of designing and delivering solutions using Cortana Intelligence suite of analytics services part of Microsoft Azure including Azure Machine Learning Studio, HDInsight, Polybase, Azure Data Lake Analytics, Azure Data Warehouse, Streaming Analytics, Data Catalog, RR Studio At least 3+ years of experience in migrating large volumes of data using standard Azure automation tools from on premise and cloud infrastructure to Azure At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project At least 2+ year of working with Power BI At least 5+ years of working with a complex Big Data environment using Microsoft tools 5+ years of experience with Team Foundation ServerJIRAGitHub and other code management toolsets 8+ years experience working in Big Data HDFS (Hadoop, Hive, Pig, Storm, NoSQL, HBase, Cassandra, Druid) Hands-on experience with DevOps solutions like Puppet, AWS CloudFormation, Docker and Microservices.

Understand customer requirements and render those as architectural models that will operate at large scale and high performance, and advise customers on how to run these architectural models on AWS.

Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.