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Senior Big Data Test Development Engineer

SpringCube

Full time - Senior Associate/ Asst Manager

Artificial Intelligence AI

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

This company empowers IP and R&D teams by providing better answers, so they can make faster decisions with more confidence. Founded in 2007, the organization is a global leader in AI-powered IP and R&D intelligence. Their domain-specific LLM, trained on an extensive proprietary innovation data, coupled with their AI assistant, delivers actionable insights that increase productivity for IP tasks by 75% and reduce R&D wastage by 25%. IP and R&D teams collaborate better with a user-friendly platform across the entire innovation lifecycle. Over 15,000 companies trust them to innovate faster with AI, including NASA, Tesla, PayPal, Sanofi, Dow Chemical, and Wilson Sonsini.

Senior Big Data Test Development Engineer

About the Role

We are seeking a Big Data Test Engineer to ensure the quality and reliability of our client’s data platforms. The successful candidate will be responsible for ensuring the quality and reliability of their big data solutions through rigorous testing and validation processes, working with technologies like Hadoop and Spark while collaborating with their data engineering team. If you are passionate about automation testing, and big data testing platform development and are eager to grow your technical skills, this opportunity is for you.

Key Responsibilities

  • Responsible for testing and quality assurance of big data and data-related products.
  • Participate in the development of big data testing frameworks or testing tools, and contribute to the construction of continuous integration platforms and automation development.
  • Validate data quality, consistency, and accuracy across data pipelines.
  • Analyze test results and provide detailed reports on software quality and test coverage.
  • Monitor and validate data workflows and pipelines.
  • Continuously improve testing processes and methodologies to enhance efficiency and effectiveness.
  • Ensure data integrity and accuracy across various data sources and platforms.
  • Work closely with data engineers to improve data quality.

Desired Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 2+ years of experience in software testing.
  • Proficiency in programming languages such as Python or Java, experience with SQL and data querying for data validation.
  • Familiarity with test automation tools and frameworks.
  • Knowledge of version control systems (e.g., Git) and experience with CI/CD tools.
  • Strong communication and interpersonal skills.
  • Ability to work independently and collaboratively in a team environment.
  • Attention to detail and a commitment to quality.

Preferred Skills

  • Experience with big data platforms (Hadoop, Spark, Hive, HBase).
  • Knowledge of ETL processes and data warehousing concepts.
  • Experience with performance testing tools (JMeter).
  • AWS/Azure/GCP cloud platform experience.
  • ISTQB certification or equivalent.

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.