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Job Description

  • Work with different technology teams across infrastructure, and other divisions to
  • deliver system solutions for the business.
  • Involve in development and system integration relevant systems with CDP
  • CDSW.
  • Hands on experiences on Big Data solution and development based on Python
  • technologies stack to design and implement secure, scalable and high performance data processing pipelines.
  • Responsible for documentation of design, build and implementation deliverables
  • owned by the individual and present it when needed.
  • Build a strong relationship and manage expectations with users and stake
  • holders.


  • Strong understanding of cloudera framework includes CDP Cloudera Data
  • Platform and CDSW Cloudera Data Science Work Bench
  • Experience in implementing Data security and access control using Ranger Atlas
  • Must have working understanding of Hadoop, Hive and Spark pySpark architect
  • Experience in python web application frameworks Django, Flask, etc.
  • Experience in shell scripting, automation and troubleshooting technical issues.
  • Other good to have skill sets include global market products
  • Experience working in the financial industry with relevant experience in core data
  • science using Cloudera platform based on Python technologies stack.
  • Previous experience on Data science project and understand the global markets
  • products and its underlying pricing components Market data analytics and
  • identifying risk factors affecting pricing of the products
  • Experience in Cloudera manager to monitor Hadoop cluster and services
  • Good knowledge and working experience in Hadoop administration incl. Hive,
  • Impala, Kafka, zookeeper etc. .
  • Hands on Techno Functional role to analysis and propose solutions for business
  • issues, process changes and functional requirements.
  • Strong team player with excellent communication inter personal skills.
  • Strong problem solver who can question and understand proposed solutions and
  • business drivers.
  • Strong organizational and leadership skills

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