Senior Data QA Engineer

Atos
Romania
Workplace: OnsiteFull timeFunction: QA, Test & Release EngineeringExperience: 5+ yearsSkills: ["Collaboration","Root-cause analysis","Stakeholder communication"]

Design and implement scalable data quality assurance solutions for enterprise data platforms, pipelines, and data products. Build reusable testing frameworks, data validation rules, reconciliation mechanisms, and regression test standards. Own end-to-end ETL/ELT validation, integrate data QA into CI/CD, and perform root-cause analysis for data defects and production incidents. Validate reliability and scalability of Spark workloads and collaborate with engineers, architects, analysts, and stakeholders on test scenarios and acceptance criteria.

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FursaFursa
Atos
Atos
5 days ago

Senior Data QA Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Design and implement scalable data quality assurance solutions for enterprise data platforms, pipelines, and data products. Build reusable testing frameworks, data validation rules, reconciliation mechanisms, and regression test standards. Own end-to-end ETL/ELT validation, integrate data QA into CI/CD, and perform root-cause analysis for data defects and production incidents. Validate reliability and scalability of Spark workloads and collaborate with engineers, architects, analysts, and stakeholders on test scenarios and acceptance criteria.
Location: Romania
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and establish a reusable data framework for data quality, validation, testing, monitoring, and governance.
  • •Implement scalable automated testing for data pipelines, transformations, and data products.
  • •Create data quality rules, validation patterns, reconciliation mechanisms, and regression testing.
  • •Validate end-to-end ETL/ELT workflows, transformations, business rules, schemas, and analytical datasets.
  • •Investigate data defects, perform root-cause analysis, and support incident analysis to improve pipeline reliability and data quality.

Pay and Benefits

Perks:ReimbursementPaid Leave

Key Requirements

  • •5+ years of experience in Data QA, data testing, or data engineering in enterprise environments.
  • •Experience designing and implementing automated testing frameworks for enterprise data solutions.
  • •Hands-on experience with Azure Databricks and Azure Data Factory.
  • •Advanced PySpark or Apache Spark knowledge, plus strong Python and SQL development skills.
  • •Experience testing production-grade ETL/ELT pipelines (batch or near real-time) and understanding lakehouse architecture and Delta Lake.
Experience:5+ years
Skills:CollaborationRoot-cause analysisStakeholder communication
Tech Stack:AzureDatabricksAzure Data FactoryPySparkApache SparkPythonSQLDelta LakeLakehouseETLELTCI/CDDevOps

Company Brief

Atos
Global digital services and consulting firm delivering cloud, cybersecurity, big data, digital workplace, and managed services to enterprise and public sector clients. Provides IT transformation, systems integration, and outsourcing solutions worldwide.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bezons, France
Founded: 1997
WebsiteLinkedIn