[Remote] QA Software Engineer at YipitData

India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Market Research, Analytics, DataIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with 5-8 years of experience in QA and familiarity with Jira. The role requires the ability to write test scripts, conduct functional testing for automated QA processes, and demonstrate strong problem-solving and debugging skills. A solid understanding of engineering best practices and agile development methodologies is necessary, along with effective communication and collaboration skills. Proficiency in at least one programming language such as C, C++, Java, Go, or Python is essential. Familiarity with professional QA methodologies and tools, QA-related Python, stress testing tools, SQL, Docker, Linux basics, and Pytest are considered advantageous.

Responsibilities

The QA Software Engineer will collaborate with engineering and data teams to ensure product quality throughout the entire lifecycle, from inception to delivery. This includes understanding requirements, defining testing strategies, and designing and executing tests for web, API, and backend functions of software applications. The role involves conducting regression testing, participating in release cycles to ensure software stability, and identifying, documenting, and tracking bugs using tools like JIRA and DevOps. Additionally, the engineer will assist in setting up automated test scripts using Python or shell scripting, and work closely with the Engineering team to promptly address user feedback, primarily utilizing Jmeter and Pytest.

Skills

Jira

test scripts

functional testing

automated QA

regression testing

web testing

API testing

backend testing

Python

Shell

Jmeter

Pytest

problem-solving

YipitData

Data analysis and research services provider

About YipitData

YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.

New York City, New YorkHeadquarters

2013Year Founded

$561.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, Financial ServicesIndustries

501-1,000Employees

Benefits

401(k) Company Match

Flexible Work Hours

Unlimited Paid Time Off

Parental Leave

Wellness Program

Professional Development Budget

Risks

Increased competition from AI-driven analytics platforms like ChatGPT.

Shift towards e-commerce may reduce demand for traditional market research services.

Inflation volatility could impact accuracy and demand for predictive analytics products.

Differentiation

YipitData specializes in alternative data, offering unique insights beyond traditional data sources.

The company provides custom reports tailored to specific business needs and sectors.

YipitData's subscription model ensures clients receive regular, detailed datasets and reports.

Upsides

Expansion into Europe and China opens new markets for localized data insights.

Carlyle Group's investment provides capital for technology and market expansion.

Focus on tracking inflation through alternative data offers a unique client value proposition.

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