Capgemini
Capgemini
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ETL Tester

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SeniorFull-time·Umowa o pracę
#396420·Dodano 2 dni temu·1
Źródło: Capgemini
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Tech Stack / Keywords

ETLAgileTestingSQLProfilingData WarehousingGenAIJava

Firma i stanowisko

Capgemini is a global business and technology transformation partner, powered by AI, employing more than 420,000 people in over 50 countries. It delivers end-to-end services and solutions from strategy and design to engineering and operations, with deep industry expertise and a broad partner ecosystem. The role is within Capgemini's Financial Services team contributing to a large data transformation program in the Nordic banking sector.

Wymagania

  • 6+ years of experience in software testing, including at least 3 years in ETL, data warehouse, or data migration testing.
  • Strong understanding of software testing fundamentals and the testing lifecycle.
  • Hands-on experience with ETL testing, data quality validation, data reconciliation, data migration testing, data profiling, and data analysis.
  • Good knowledge of data warehousing concepts and cross-system integrations.
  • Strong SQL skills, including DDL, DML, DQL, joins, aggregations, and subqueries.
  • Experience validating large datasets and complex data transformations.
  • Ability to independently analyze requirements and define testing approaches.
  • Experience with defect management and test documentation.
  • Strong communication, collaboration, and stakeholder management skills.
  • Experience working in Agile environments.
  • Advanced English.

Obowiązki

  • Collaborate with business, data, engineering, and product stakeholders to understand requirements, ETL processes, mappings, and transformation rules.
  • Plan, design, execute, and maintain tests for ETL, data warehouse, reporting, and data migration areas.
  • Perform functional, system, integration, regression, user acceptance, and end-to-end data validation testing.
  • Use SQL to verify data quality, completeness, consistency, accuracy, and reconciliation between source, staging, and target systems.
  • Identify, document, track, and analyze defects, data anomalies, and root causes.
  • Prepare test reports and communicate progress, risks, and quality insights to stakeholders.
  • Support test data preparation, data masking, data validation, and continuous improvement of testing practices.

Benefity

  • Access to more than 70 learning paths with certification opportunities including GenAI and Google on the NEXT platform.
  • Free access to Education First, TED Talks, Udemy Business, and training materials.
  • Work with advanced technology and modern tools/platforms.
  • Join technology communities focused on areas such as Java, Agile, AI, and Cloud.
  • Hybrid working model combining office and ergonomic work from home after onboarding.
Dofinansowanie szkoleń
Budżet konferencyjny
Szkolenia wewnętrzne
Spotkania integracyjne
Elastyczne godziny

Inne informacje

The hybrid working model is available after onboarding. Details regarding work organization will be discussed during the recruitment process. Capgemini is committed to diversity and inclusion, assessing people based on qualifications and performance, not personal characteristics.

Capgemini

Capgemini

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