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Fractal Analytics

Enterprise AI solutions for decision making

Data Testing Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A minimum corporate career break of one year is required for program eligibility.
  • Two to six years of software testing experience are required.
  • At least two years of experience working as a Quality Assurance Engineer or in a similar capacity are required.
  • Experience in ETL testing and creating data pipelines is required.
  • Experience with Python and SQL scripting is required.
  • Expertise in automation testing and creating end-to-end use cases is required.
  • Knowledge of quality assurance methodologies, tools, and techniques is required.
  • Knowledge of DevOps principles is required.
  • Experience working in an Agile environment is required.
  • Experience with test automation at various development stages and integration with continuous integration and continuous delivery pipelines, including unit, integration, and load tests, is required.
  • Experience testing PySpark code and conducting API testing is required.
  • Experience with test automation frameworks such as Python behavior-driven development is required.
  • Experience with Docker containers is required.
  • A bachelor's degree in a relevant field such as Information Systems, Computer Science, or Engineering is required.

Responsibilities

  • Participate in quality assurance teams by managing daily activities, training, and mentoring.
  • Collaborate with stakeholders to improve quality standards and testing procedures.
  • Develop test plans, test scenarios, test cases, and test data for different testing activities.
  • Define, implement, and maintain standard quality assurance processes and methodologies for cloud, data, and application engineering efforts.
  • Collaborate with Product Owners and user experience and user interface designers to understand use cases and develop test plans accordingly.
  • Collaborate with Product and Development Leads to develop and implement a testing roadmap for the product.
  • Work with development teams to develop quality standards for test automation, unit, functional, system integration, performance, and user acceptance testing.
  • Own end-to-end quality assurance automation and manual quality assurance processes and execution.
  • Define and implement key performance indicators to support end-to-end automation in the product development quality life cycle.
  • Coordinate and manage platform releases by overseeing test case execution, documenting defects, and managing release deployment.
  • Troubleshoot quality issues and modify test procedures when applicable.

Desired Qualifications

  • Quality assurance management experience is preferred.
  • Experience with professional software engineering practices and best practices across the full software development life cycle is preferred.
  • Experience improving product test coverage and effectiveness is preferred.
  • Experience in Selenium automation testing using Python and Pytest is preferred.

About the Company

Fractal Analytics

Enterprise AI solutions for decision making

Fractal Analytics provides AI-powered analytics and decision-support solutions for large enterprises, including Fortune 500 companies. Its products combine data science, machine learning, and natural language processing to extract insights, automate tasks, and enable conversations: Crux Intelligence (BI), Senseforth.ai (conversational AI), Eugenie.ai (sustainability), and Asper.ai (revenue growth). The company differentiates itself with a broad, enterprise-focused product portfolio and a global delivery footprint of 4,000+ employees across 16 locations, plus industry analyst recognition and workplace awards. Its goal is to power every human decision in the enterprise by bringing AI, engineering, and design together to help leading companies make better decisions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2000

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