Big Data Test Manager - Enterprise Data Lakehouse

EPAM Systems, Inc.; Zürich; Hybrid; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

EPAM Systems, Inc. in Zürich, Switzerland is seeking a Big Data Test Manager to define and lead the end-to-end test strategy for a large Data Lakehouse program.

You will validate complex ETL/ELT pipelines and downstream banking data products, and drive automation within Kubernetes-based CI/CD environments, coordinating across a distributed team in a regulated setting. You will establish governance, data management, and testing standards while collaborating with data engineers, platform teams,

Qualifikationen

• Extensive experience testing large-scale enterprise data platforms, preferably in regulated environments.
• Hands-on expertise in data quality validation, reconciliation, schema drift and data lineage.
• Experience in test automation for data pipelines, APIs and platform services.
• Coordinate integration & regression testing across distributed multi-application environments.
• Excellent stakeholder management and communication in global, regulated settings.
• English proficiency required; German is a plus.
• Nice to have banking/financial services exposure.

Aufgaben

• Lead the end-to-end test strategy for a large Data Lakehouse program across enterprise data products and platforms.
• Drive validation of complex ETL/ELT pipelines and downstream banking data products.
• Design and implement test automation tailored for data validation and pipeline execution in Kubernetes-based CI/CD environments.
• Oversee test data management and coordinate integration testing across 70+ connected applications and distributed environments.
• Establish test governance, entry/exit criteria, defect management and quality standards across workstreams.
• Collaborate with data engineers, platform teams, product owners and application owners to improve test coverage.
• Drive production readiness and release validation for platform and data ecosystem changes.

Kenntnisse

Data testing

Data quality

Test automation

Kubernetes

Data pipelines

CI/CD

Stakeholder mgmt

S3

Data governance

Regression testing

Ausbildung

Bachelor's degree in CS/Engineering

Tools

Scripting frameworks

ETL testing tools

Jobbeschreibung

We're looking for a Big Data Test Manager to join our team in Zürich, Switzerland in a hybrid working mode. In this role, you will define and lead the end-to-end test strategy for a large-scale enterprise Data Lakehouse program supporting banking data products and platform services. This position requires a strong understanding of data platform testing, high-quality delivery and the ability to coordinate across a globally distributed team in a regulated environment.ResponsibilitiesLead the end-to-end test strategy for our client’s enterprise-level Data Lakehouse program, ensuring the validation of complex ETL/ELT pipelines, transformations and downstream banking data productsDrive and design test automation initiatives specifically tailored for the client’s data validation, data quality reconciliation and pipeline execution within Kubernetes-based CI/CD environmentsEnsure robust test data management and coordinate integration testing across the client's 70+ connected consuming applications and globally distributed environmentsOversee testing for two key areas, Data pipelines and banking domain data products and Platform-as-a-Service capabilities for the Data LakehouseEstablish test governance, entry/exit criteria, defect management processes and quality standards across multiple workstreamsCollaborate with data engineers, platform teams, product owners and application owners to resolve cross-functional issues and influence test coverage alignmentDrive production readiness and release validation activities for platform and data ecosystem changesRequirementsProven experience managing testing within large-scale enterprise data platforms, such as Data Lakes, Data Lakehouses or modern Data Warehouses (ideally in highly regulated environments like Banking)Strong understanding of data testing vs. traditional application testing, with hands-on expertise in data quality validation, reconciliation, schema drift and data lineageHands-on experience in test automation for data pipelines, APIs and data platform services using industry-standard tools and scripting frameworksExperience coordinating integration and regression testing across distributed, multi-application environments without direct ownership of downstream systemsFamiliarity with modern data platform infrastructure and operations, including Kubernetes, S3 Object Storage and containerized DevOps pipelinesExperience implementing and scaling test automation frameworks designed specifically for high-volume data validation and pipeline testing (as opposed to standard UI-centric automation)Excellent stakeholder management and communication skills to lead testing in global, regulated environmentsHigher education in Computer Science, Engineering or related field preferredEnglish proficiency required; German language skills are an advantageNice to havePrevious experience in financial services/banking or other highly regulated sectorsUnderstanding of data governance, regulatory controls and data lineage frameworksWe offer5 weeks of vacationEPAM Employee Stock Purchase Plan (ESPP)Enhanced parental leaveExtended pension planDaily sickness allowance insuranceEmployee assistance programGlobal business travel medical and accident insuranceLearning and development opportunities including in-house training and coaching, professional certifications, and courses• Please note that any offers will be subject to appropriate background checks• We do not accept CVs from recruiting or staffing agencies• For this position, we are able to consider applications from the following:- Swiss nationals- EU/EFTA nationals- Third-country nationals based in Switzerland with an appropriate work permit- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits