Apply for QA Engineer (PO) Role at Fetcherr

Israel Job Openings

Fetcherr

QA Engineer (PO)

FULL TIME

October 29, 2024

Department

Type

Full-time

Level

Location

Israel

About The Position

QA Engineer (PO)

Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.
We're looking for a QA Engineer to help us grow our data quality assurance and automation team's capabilities. The ideal candidate is an AQA professional with data intensive applications experience who is capable of building data quality assurance strategy for a team of 20+ developers from scratch.

You will ensure the quality of our data products, and create automated testing, monitoring and alerting infrastructure for high-load data pipelines involving multiple midsize teams.

About The Position

You’ll be a great fit if…

You know how to develop and execute the team's QA strategy
You can organize and train AQA engineers, ensuring knowledge sharing and continuous improvement
You have experience setting up automated control and reporting processes
You have working in tech lead position or equivalent for 2+ years
You are able to create and analyze company quality metrics
You are familiar with testing methodologies and forms such as Grey Box, White Box, API, Performance, Stress Testing, Exploratory Testing, etc.
You are proficient in utilizing CI/CD, containerization and cloud technologies
You are fluent with Python testing toolkit
BSc or Master’s degree in Economy / Computer Science / Engineering
Have a readiness and willingness to continuously learn while working

Nice to have:

Obsession for testing ETL pipelines and orchestration workflows
Experience with Python libraries like pandas, numpy, matplotlib, plotly
Familiarity with data quality assurance tools, e.g. Great Expectations, DBT, SODA, DVC, etc.
Domain knowledge in revenue management for the travel industry (airlines, transportation, hospitality)

We regret to inform you that this job opportunity is no longer available as it has expired

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