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QA Data Engineer

The person hired for this position will join one of our teams in creating modern solutions in the area of data acquisition, processing and analysis for global industry leaders. They will have the opportunity to work in an international environment and with the latest DataOps technologies, as well as Azure/AWS cloud environments.

place Warsaw Hybrid/Remote
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Requirements

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    Ability to write unit tests in Python (including knowledge of relevant libraries for this, e.g. pytest, unittest)

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    Knowledge of techniques and tools for creating automated end-to-end tests for data acquisition and processing processes

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    Ability to think analytically and to analyze processes and data

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    Advanced knowledge of Python and SQL

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    Knowledge of REST API concepts and familiarity with tools for using and testing APIs (e.g. Postman, SoapUI)

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    Ability to use JIRA/ClickUp tools and git repositories

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    Experience working with relational and non-relational databases, including but not limited to: SQL Database, Synapse, Redshift, Aurora, Cosmos DB, DynamoDb

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    Experience in designing and describing scenarios and test cases for internal (integration, user) and acceptance tests (UAT)

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    Knowledge of English at min. B2

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Responsibilities

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    ETL Process Testing ensures the accuracy of data extraction from various sources.

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    Ensure the correctness of data transformations throughout the transformation process.

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    Verify the accuracy of data transmitted via APIs and test the functionality and services provided by programming interfaces.

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    Validate user interfaces (UI) for compliance with specifications.

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    Test application functionality and behavior to ensure optimal performance.

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    Verify that reports and dashboards (in visualization tool i.e. PowerBi) are functioning correctly.

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    Ensure that filters, drill-downs, and other interactive features work as expected.

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    Perform various types of tests including functional, integration and regression tests to ensure thorough software and data validation.

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    Assist in the UAT process, gathering feedback from end-users.

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    Prepare detailed test documentation based on business analysis requirements.

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    Report and track bugs in Jira/ClickUp, conducting initial analyses of identified issues.

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We offer

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    Global projects in clouds - we work with clients from all over the world based on modern cloud technologies

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    Certification reimbursement - we fund exams, Microsoft certifications, AWS, Databricks, Snowflake

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    Learning time - 60 paid hours per year

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    Flexible approach - you can choose to work from home or meet at our offices

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    Personalised benefits - medical care, subsidised sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonuses

If you are interested in the offer, send your CV

Apply
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Dominika Jaworska

HR Generalist

dominika.jaworska@bitpeak.com

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I believe that clear and honest communication is the determinant of successful cooperation. Through achieving those, we build strong and cohesive team. If you are a candidate who values open and direct communication, then we would love to hear your questions about the company!

Still have questions about working for BitPeak? Write to us!
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Krzysztof Sałamun

Head of Data Engineering

krzysztof.salamun@bitpeak.com

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As a Head of Data Engineering department I emphasize an honest, effective communication, pragmatic approach to projects and initiative to improve your knowledge about technology. I focus on direct cooperation and actively using strenghts of my team.

If you have any question about our future cooperation - let's talk!