Senior Solutions Architect - Development Cloud
- Employer
- Request Technology, LLC
- Location
- Mclean, VA
- Closing date
- May 24, 2019
View more
- Industry
- Technology and Software
- Function
- IT Architect, Consultant and Strategist, IT
- Hours
- Full Time
- Career Level
- Experienced (Non-Manager)
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No SPONSORSHIP Senior Tech Lead Solutions Architect to develop, architect and engieer Big Data applications to support credit risk analytics Big Data analytics and Cloud platform. road map Cloud Big Data database middleware Cloud AWS 10 years Big Data tools data engineering projects Hortonworks Hadoop Hive Zookeeper HBASE Spark HDFS Apache Ranger AWS Cloud multi-terabyte data warehouses in MPP columnar database systems Vertica Redshift Agile Scrum. QUALIFICATIONS bullTypically, 10+ years of Applications solution architecture development experience with 3+ years of Cloud (AWS, Azure and Google) and Big Data tools and technologies. bullBachelorrsquos degree in Computer Science, IT, related field or equivalent work experience bullA passion for data, and several years of hands-on experience leading data engineering projects, such as data architecture and data warehouse implementation projects. bullExperience in building solutions on large, complex projects in a high-tech development environment with multi-function teams. bullStrong technical backgroundsubject matter expertise ndash experience as technical lead or architect on a Big Data development team. bullHave developed systems based on key principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms) bullStrong solution delivery experience in Hortonworks Hadoop echo system Must be very familiar with Hive, Zookeeper, HBASE, Spark, HDFS, Apache Ranger etc. bullWorking experience of building and managing data pipelines on On-Premise and AWS Cloud data platforms using Sqoop, NiFi, Kafka, kinesis etc. bullExperience in designing and implementing multi-terabyte data warehouses in MPP columnar database systems, such as Vertica and Redshift. bullExperience working with data streaming technologies (Kinesis, Kafka etc.) bullExpertise with AWS technology stack and deployment (Docker, Jenkins, Lambda, etc.) bullPrior experience in migrating on premise data platforms implementation to a cloud based implementation
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