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Business Analyst & Big Data Architect - "See JD for Skill set" (Senior, Remote)

TopDevz · Nov 3rd 2020

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We are looking for an experienced, senior, Business Analyst and Big Data Architect, who is excited to work on one of our many client projects - both greenfield (new) projects as well as legacy (support) projects in that technology stack. This is a remote position, 40 hours a week.

Skills & Requirements

  • Expert level knowledge with 8-10 years of experience in Cloudera Hadoop components such as HDFS, HBase, Impala, Hue, Spark, Hive, Kafka, YARN and ZooKeeper

  • Expertise in architecture, Build and Troubleshooting Hadoop experience on Cloudera Distribution

  • Hands on experience with ON prem and cloud deployments

  • Validated experience in scripting, automation, deployment, set up and installation, trouble shooting and fixing issues across platforms

  • Architecture, Design and Development of Big Data lake

  • Take end to end responsibility of the Hadoop life Cycle in the organization.

  • Detect, analyze and remediate performance problems.

  • 3-5 years of experience in at least one of the following: Python, Java or Shell Scripting and eager to pick up new programming languages on the go

  • The ability to function within a multidisciplinary, global team. Be a self-starter with a strong curiosity for extracting knowledge from data and the ability to elicit technical requirements from a non-technical audience

  • Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)

  • You have deep understanding of Dev ops and Agile software development methodologies

  • You have strong communication skills and the ability to present deep technical findings to a business audience

  • Hands-on experience working in an agile environment

  • AWS/Azure/Google Cloud experience is a plus.

  • Experience in architecture and troubleshooting skills on tech stacks HDFS,HIVE, Mapreduce, YARN,IMPALA,SPARK,HBASE, KMS, HUE, OOZIE, SENTRY

  • Architecting Large Scale Big Data/Analytics solutions

  • Architecture/Design Patterns for Big Data and Cloud systems

  • Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

  • Responsible for defining the Build and Manage part of Hadoop solutions

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