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Data Quality Assurance Engineer – Data Platform

SpringCube

Full time - Senior Associate/ Asst Manager

Social Networking & Media

Singapore ( Onsite )

Published 3 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A global social media platform centered around short-form video content allows users to create, watch, and share short videos, typically ranging from a few seconds to three minutes (though some users can now post longer videos). It’s known for its personalized feeds, ease of video creation with built-in music, sound effects, filters, and special effects, and its highly engaging nature. In China, a separate version of the app with similar functionality caters to the Chinese audience.

Data Quality Assurance Engineer – Data Platform

What you will be doing:

  • Responsible for quality assurance work in offline/real-time data warehouses and data engineering, building a quality assurance system.
  • Develop comprehensive test plans and testing strategies based on actual business requirements, ensuring data accuracy and maintaining data engineering quality.
  • Quickly develop testing tools or platforms based on testing needs to improve business delivery efficiency.
  • Able to identify data system risks comprehensively, ensuring data system stability through means such as performance testing and online monitoring.
  • In-depth understanding of the business, communicate and collaborate with various roles in data business, create value for the business, and work without boundaries.
  • Update software, enhances existing software capabilities and develops and direct software testing and validation procedures.

Qualifications

Minimum Qualifications:

  • Bachelor’s degree or above in computer science, mathematics, statistics, or related fields.
  • At least 2 years of experience in testing development/development work, with a preference for experience in big data testing and data engineering service testing.
  • 2 years experience in using one programming language (JAVA/Go/python) for tool development, skilled in using SQL, and preferably with independent experience in platform tool development.
  • Familiarity with common big data technologies such as Yarn, Spark, HDFS, understanding of data ETL processes, good literacy and foundation in mathematical analysis
  • Strong initiative, sense of responsibility, and ability to work under pressure are required.

Preferred Qualifications:

  • 5 years of experience in testing development/development work, with a preference for experience in big data testing and data engineering service testing.
  • 5+ years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
  • Experiences in data platform related product development or big data technologies (such as Hadoop, Clickhouse, Flink etc.)
  • Sensitivity to data, excellent logical thinking, analytical skills, business understanding, communication skills, and presentation abilities.
  • Solid background in statistics, data mining, and modeling are preferred.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.