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Senior QA Engineer (Big Data)

Closing: Nov 25, 2022

This position has expired

Published: Nov 22, 2022 (17 days ago)

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Job Summary

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Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

Requirements
  • 5+ years experience in software testing, both manual and automation.
  • Big Data (Hadoop, Hive, Spark, Flink,...) testing experience is a big plus.
  • Data quality or data security related experience is a big plus.
  • Experience in writing clear and comprehensive test plans and test cases.
  • Experience in testing backend services such as APIs, Databases, distributed services.
  • Good programming ability, master at least one of the programming languages: Java, Python, JS or others.
  • Strong SQL testing, understanding different SQL statements.
  • Strong analytical and trouble-shooting skills.
  • Experience working in an Agile/Scrum development process.
  • Excellent interpersonal, consultative and communication skills.
  • Self-managed, proactive work style, good commitment

  • Responsibilities
    Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

    Requirements
  • 5+ years experience in software testing, both manual and automation.
  • Big Data (Hadoop, Hive, Spark, Flink,...) testing experience is a big plus.
  • Data quality or data security related experience is a big plus.
  • Experience in writing clear and comprehensive test plans and test cases.
  • Experience in testing backend services such as APIs, Databases, distributed services.
  • Good programming ability, master at least one of the programming languages: Java, Python, JS or others.
  • Strong SQL testing, understanding different SQL statements.
  • Strong analytical and trouble-shooting skills.
  • Experience working in an Agile/Scrum development process.
  • Excellent interpersonal, consultative and communication skills.
  • Self-managed, proactive work style, good commitment

  • Work closely with team members (developers, product manager, and partners) to develop, test and deliver high quality data application products.
  • Create detailed, comprehensive and well-structured test plans and test cases.
  • Prevent, report, analyze and track issues in an effective and efficient manner.
  • Work closely with team members to design the effective and efficient test strategy and execute for testing ETL data pipelines.
  • Improve test strategy to reduce manual test efforts. Design, develop and execute automation scripts

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