Senior Data Engineer (QA focus)

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Accenture Korlátolt Felelősségű Társaság
Munkavégzés helye

Hibrid • Budapest

Egyéb juttatások
- Cafeteria
- Egészségbiztosítás
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- BI TESTING AZURE SQL AGILE PYTHON API JSON XML UAT ACCESS REGRESSION TESTING REST TEST AUTOMATION JIRA
Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity
Validate data extraction, transformation and loading processes for accuracy, completeness, consistency, schema integrity, referential integrity, deduplication, lineage and schema drift
Perform XREF (cross-reference) checks, source-to-target mapping validations, and data reconciliation between systems
Work with data lakes / data warehouse platforms including environments using Databricks, Delta Lake tables, clusters, notebooks, SQL endpoints to test data pipelines end-to-end
Develop and run automated data validation / regression testing scripts using Python or PySpark
Integrate testing into CI/CD pipelines and version-control practices using GitHub
Perform API testing (e.g. REST / JSON / XML) to validate request/response payloads and data integration correctness
Participate in System Integration Testing (SIT) and support User Acceptance Testing (UAT) with business stakeholders
Create and maintain test documentation including test plans, test cases, test data sets, traceability matrices, defect logs/reports
Collaborate with engineers, architects, data engineers and business users to ensure data quality throughout the delivery lifecycle
Report, track and support resolution of defects and data-quality issues

Requirements

4–7 years of hands-on experience in data testing / ETL testing / QA for data platforms or data warehouses
Strong proficiency in SQL for data validation, reconciliation, and complex query testing
Proven experience testing ETL pipelines built using Databricks, Azure Data Factory, SQL Server or comparable data‑integration tools/environments
Deep understanding of data validation concepts including deduplication, referential integrity, completeness, schema drift, data lineage
Hands‑on experience with Databricks notebooks, clusters, Delta Lake tables, SQL endpoints
Ability to write Python or PySpark scripts for automated data validation or regression testing
Familiarity with test automation frameworks or integrating testing into CI/CD pipelines
Comfortable using GitHub for version control, branching, pull requests, and test‑script management
Experience with API testing (REST/JSON/XML) to validate API integration with data pipelines
Experience with System Integration Testing (SIT) and defect management workflows
Experience supporting UAT with business stakeholders including defining acceptance criteria and validating against business requirements
Skill at creating test plans, test cases, test data, traceability matrices
Strong attention to detail, structured and quality-first mindset
Excellent communication skills to work and collaborate with engineers, architects, business stakeholders

Nice-to-have

Familiarity with BI tools / reporting layers such as dashboard testing and data visualization QA, Previous exposure to working in agile teams / SDLC environments, Experience with test‑management tools such as JIRA, TestRail, X-Ray, or similar, Understanding of data‑warehouse concepts including star/snowflake schemas, fact & dimension tables, Experience working in Financial Services or other regulated industry with compliance, data governance, audit-readiness

What we offer

Participation in full-cycle and diverse international projects
Opportunity to work as a specialist or manager/team lead
Constant career development with internal mentorship
Access to a whole set of learning platforms and paid certifications
Flexible working conditions including home working
Attractive base salary
Wide range of benefits including cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price

Company info

Accenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas. With more than 800,000 employees worldwide, we serve clients in more than 120 countries.