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 be responsible for building and maintaining automated data validation to ensure consistency and accuracy across cloud migration environments. You will own the validation of data integrity across processing layers, storage systems, and orchestration workflows to guarantee reliable outcomes. You will integrate quality checks into automated pipelines and produce evidence to support migration readiness and sign-off.
RESPONSIBILITIES
- Design and implement automated data validation pipelines comparing AWS and GCP outputs using Python and Databricks
- Develop and maintain data parity checks across ETL processing layers
- Validate message integrity across Kafka clusters and downstream processing stages
- Execute object parity, replication-lag, and stored-procedure validation for migrated data stores
- Validate DAG execution, scheduling, retry logic, and alerting parity following Cloud Composer and Airflow migration
- Verify pipeline telemetry and data-quality alerting as operational readiness evidence
- Create automated data quality gates integrated into Jenkins CI pipelines
- Adopt AI-assisted and agentic workflows for validation, test authoring, and defect analysis
REQUIREMENTS
- 4+ years of experience in data quality engineering, automated validation, and reconciliation across distributed systems
- Strong Python skills for building data validation frameworks and automated quality checks
- Hands-on experience with Databricks and advanced SQL for data comparison, validation, and analysis
- Experience validating data integrity across Kafka, Redis, and cloud-based storage platforms (e.g., S3, GCS)
- Knowledge of replication validation, stored-procedure parity testing, and cloud database migration quality assurance
- Experience with CI/CD practices and test orchestration using Jenkins or similar tools
- Strong analytical mindset with the ability to identify and troubleshoot data discrepancies across complex data pipelines
- Excellent communication skills and experience collaborating with English-speaking engineering teams, leveraging modern AI-assisted development and automation tools
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
Poland
Work type
Remote/Office
Direction
Software Testing
Subdirection
Test Automation
Tech level
Senior
Apply Now
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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.