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Posted 4 months ago

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Big Data Technical Lead

Bethesda, MD, United StatesOn-siteContract

AI Summary

Leads big data initiatives using the Hadoop ecosystem and related technologies, tuning solutions for performance, evaluating new tools, and collaborating with clients and teams.

About this role

Big Data Technical Lead

Ajith

KRG Technologies Inc

ajith at krgtech.com

661-367-8000 EXT 310

Job Title: Big Data Technical Lead

Location: Bethesda, MD

Duration: Contract

Job Description:

Professional Experience

  • Solid working knowledge of next generation data and analytics capabilities built on the Hadoop ecosystem.
  • Understanding of design patterns, application architectures and analytics workloads including micro-services, APIs, REST, NoSQL.
  • Research, evaluate and utilize new technologies/tools/frameworks and build libraries, user defined functions around Hadoop ecosystem and Spark.
  • Should be able to tune Hadoop solutions to improve performance and end-user experience.
  • Familiarity with Data ware Housing, ETL, BI, Visualization tools, Machine Learning
  • Excellent problem solving, hands-on engineering skills and communication skills and ability to lead the team and resolve their issues.
  • Interact with client for requirement understanding and status reports.

Professional Experience Preferred

  • Knowledge/experience of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure)
  • Good to have experience in Application development and deployment.
  • Good to have Cloudera/Hortonworks/MapR Certification – (not mandatory)
  • Good to have Core Java knowledge.
  • Experience with Maven, Git

Technical Skills Required

Any combination of below technical skills

Search Servers : ElasticSearch,Lucene,Solr

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills

APIsAWSAzureBiClouderaCore JavaData WarehousingElastic MapReduceElasticsearchETLGitHadoopHortonworksLuceneMachine LearningMapRMavenMicro-servicesNoSQLREST APISolrSpark

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