Flexible work model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
ABOUT THE ROLE
In this role, you will ensure the quality and reliability of enterprise-scale Data Products and platform capabilities that enable analytics across more than 3,000 healthcare facilities. Working within a modern GCP-based data ecosystem, you will validate complex data pipelines, transformations, and governance processes while collaborating with Data and Platform Engineers. The role also offers an opportunity to expand your expertise toward Data Engineering.
RESPONSIBILITIES
- Design and execute comprehensive testing strategies for enterprise-scale Data Products, covering data ingestion, transformation, modeling, quality, governance, and publishing
- Validate large-scale datasets using complex SQL queries, ensuring data accuracy, completeness, consistency, schema integrity, and metadata quality
- Test data pipelines and ETL/ELT workflows across GCP services, including BigQuery, Spanner, and Cloud Composer
- Perform functional, integration, regression, and non-functional testing to ensure reliable data processing across the platform
- Investigate data quality and pipeline issues using monitoring and logging capabilities, collaborating with Data and Platform Engineers to identify root causes
- Build and maintain structured test documentation, including test plans, test cases, validation scenarios, and test reports
- Contribute to data governance and quality practices, including validation of metadata, lineage, cataloging, and data quality rules
- Validate AI/ML-enabled data capabilities, including AI-driven transformations, analysis, and predictions, with a focus on data quality, accuracy, and logic correctness
- Contribute to continuous improvements in test automation, CI/CD, quality engineering practices, and overall platform reliability
REQUIREMENTS
- At least 3 years of hands-on experience in Quality Control or Quality Engineering, preferably with data-intensive or large-scale cloud-based systems
- Strong hands-on experience with GCP data services, particularly BigQuery, Spanner, and Cloud Composer
- Advanced SQL skills with experience writing complex analytical queries, preferably using BigQuery SQL
- Strong experience in data validation and data quality testing, including schema validation, metadata checks, data lineage, and functional validation
- Solid understanding of functional, integration, regression, and non-functional testing approaches
- Experience creating and maintaining structured test documentation, including test plans, test cases, and test reports
- Experience validating data pipelines and ETL/ELT processes
- Strong analytical and problem-solving skills with the ability to investigate complex data quality issues
- Strong communication skills, a proactive and consultative mindset, and proficiency in English
- Interest in expanding technical expertise toward Data Engineering
- Experience with Google Dataplex, including data governance rules, cataloging, metadata management, and data quality policies (would be a plus)
- Familiarity with IBM Netezza (would be a plus)
- Experience with GCP monitoring and logging tools, including Cloud Logging, Cloud Monitoring, and Error Reporting (would be a plus)
- Experience validating AI/ML components integrated into data platforms, including AI-driven transformations, analysis, and predictions (would be a plus)
- Understanding of data mesh principles and enterprise data platform concepts (would be a plus)
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
Role Summary
Location
Bulgaria
Work type
Remote/Office
Direction
Software Testing
Subdirection
Quality Control
Tech level
Senior
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.