Big Data Architect with Hbase Skills Salary

Build "framework" for data ingestion and Dev Ops including technologies such as Kafka, Hive, HBase, Flume, Sqoop, and Azure data factory Design, build and launch extremely efficient reliable data pipelines to move data (both large and small amounts) into a Data lake in Azure Build, implement and support the data infrastructure ingest and transform data (ETLELT process).

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.

Hands on development role focused on creating big data and analytics solutions Coding of mission critical components Analyze business and functional requirements and contribute to overall solution Participate in design reviews, provide input to the design recommendations Participate in project planning sessions with project managers, business analysts and team members Experience with implementing metadata management system on big data platform Hands-on expertise with Graph databases using Hbase for storage Required Skills Experience with middle-tierbackend systems development in JavaLinux Minimum 3-5 years working experience with Hadoop in an enterprise setting Experience with Java enterprise development, Python and Scalar Hands-on expertise with Sql NoSql data platforms Hands-on expertise with Big data technologies (HBase, Hive, Sqoop) Experience with PubSub messaging (JMS, Kafka, etc.