Position: Middle QA Engineer - 482
Company: Exadel
Category: QA
Experience required: 2y
English level: intermediate

Requirements:
- 2+ years of prior QA testing experience
- Diagnose bugs and perform root cause analysis
- Develop well documented test plans and strategies for both new development and regression coverage across our entire products
- Strong knowledge of SQL and writing complex joins
- Experience using UNIX commands and vi editor
- Experience working in an Agile/Scrum development process
- English - Intermediate

Nice to have:
- Ability to develop automated testing programs and processes (ability to use Python is a plus)
- Experience using tools like Zira, SQL Developer, DBeaver

Responsibilities:
- Work with cross-functional teams to ensure quality throughout the software development lifecycle
- Review and analyze scope requirements and document ambiguities or incomplete requirements for further clarification
- Create detailed test plans based on requirements and data mapping documents
- Prepare test data and oversee readiness of test environments
- Perform functional and non-functional testing and analyze test results
- Identify and track defects to closure
- Create and update test artifacts (Test Strategy, Test Plans, Test Cases, Test Status) for newly developed and legacy applications

Company offers:
- Vacation is 20 working days / till 20 working days per year for sick leaves
- Full payment of taxes
- English courses
- Flexible work schedule
- Friendly environment
- Medical insurance
- Opportunity for career growth

About the Customer:
The customer is an American company based in Chicago. It accelerates digital transformation for the insurance and automotive industries with AI, IoT and workflow solutions.

About the Project:
The customer has been working on the next generation analytics platform since 2018. The customer is currently working on Hortonworks and plans to move to Amazon EMR/Hadoop in 2021. The platform is where all the data is collected into one data lake so they can then perform next-generation analytics.

Project Tech Stack: 
Technologies used are all open source Hadoop, Hive, PySpark, Airflow, Kafka to name a few

Project Stage: 
Active Development