Data QA / ETL Testing Engineer
15 000 - 20 000 PLN/ mies.B2B (netto)
MidFull-time·B2B
#327157·Dodano 18 dni temu·21
Źródło: nofluffjobs.comTech Stack / Keywords
QAETLTestingAutomated testingSQLRelational databaseData mappingGitBitbucketSAFeCommunication skillsIBM DataStageInformatica
Wymagania
- Commercial experience in Data QA / ETL testing
- Hands-on experience with automated testing for ETL or data projects
- Strong knowledge of SQL, PLSQL, and relational databases
- Good understanding of ETL, Operational Data Store, and data warehousing concepts
- Experience in validating data mappings, transformations, and business rules
- Practical experience in manual data testing and strong attention to data quality
- Familiarity with Git-based tools, such as Bitbucket
- Experience working in Agile / Scrum / SAFe environments
- Good communication skills and ability to work with both technical and business stakeholders
- Fluent English, both spoken and written
- Experience with IBM DataStage, Informatica, or similar ETL tools will be an advantage
Obowiązki
- Work as part of a Scrum team in a data-focused banking project
- Develop and maintain automated tests for ETL processes and data migrations into the Operational Data Store
- Validate data mappings, transformations, and business rules using SQL
- Perform manual data testing and exploratory checks when needed
- Review mapping documents, data models, and integration requirements
- Collaborate closely with ETL Engineers, developers, and business stakeholders
- Support regression testing and release activities
- Prepare and maintain test documentation, test evidence, and defect reports
Oferta
- Opportunity to join an international project for a well-known banking client
- Long-term collaboration in a data-focused QA role
- Work in an Agile environment with close cooperation across technical teams
- Hybrid work model: 3 days per week from the office in Gdańsk or Warsaw
- B2B / subcontractor cooperation
- 6-month contract with possible extension
- Opportunity to work on complex ETL processes, data validation, and migration testing in a large-scale environment
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