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Senior Big data engineer | Product company

Keywords / Skills : Hadoop, Qlik, Tableau, Java, Scala, python, R , Hadoop, AWS, ETL, data pipeline, data lake

5 - 8 years
Posted: 2019-05-01

Job Description
SaaS product company
Should be able to join in 30 day or less than
Basic Qualifications
  • 6-8 years of experience working in software development domains
  • Must have experience of Bigdata/Hadoop, AWS, and Sound understanding of velocity and volume and variety of Data
  • Should have experience in setting up and configuring a medium to large Big Data ecosystem
  • 4+ years’ experience in building large scale and distributed fault tolerant enterprise applications using Hadoop and related open source Big Data Technologies
  • 4+ years of experience in Data engineering in setting the data pipeline, data lake
  • Must have exposure to advanced analytics platforms
  • Hands-on technical leader that contributes to technical vision, software architecture, process improvements to deliver scalable big data platforms and services
  • Management experience in leading a large development team
  • Experience in building scalable real time systems and streaming solutions is preferred
  • Programming experience in languages like Java, Scala, python, R equivalent
  • Experience with Linux/Unix and shell scripting
  • Experience in developing and deploying scalable and fault tolerant web services using REST
  • Experience with all aspects of big data systems including database design, ETL, and monitoring
  • Experience with SQL and NOSQL databases
  • Experience in using various schedulers for the automation
  • Experience in using and integrating BI applications such as Qlik, Tableau (preferred)
  • Excellent written and verbal communication
  • Bachelor’s/Master’s degree in Computer Science or equivalent work experience

Preferred Qualifications
  • Strong Customer Focus
  • Worked on DAAS (Data as a service platform)
  • Must have Bigdata/Hadoop, Spark experience is plus
  • Excellent interpersonal skills and enjoys working in a highly iterative, agile and open team environment
  • Masters or PhD in computer science
  • Demonstrates delivering data as a business (understanding and analyzing the cost base of a service and recovery model)
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