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Tier-1 brand and metro location increase competition but senior 10+ experience requirement limits applicant pool.
Data engineering test automation skills transfer across industries but require domain/tool familiarity.
Explicit 10+ years plus mandatory data testing, cloud, SQL/Python and automation skills enforce strict screening.
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Validate, test, and support data engineering solutions ensuring reliable and scalable enterprise-wide data pipelines.
Develop and maintain automation scripts for data validation, improve test coverage and release confidence.
Collaborate globally with product, development, and QA teams for defect analysis, test planning, and release support.
10+ years of experience in data engineering testing, ETL validation, QA automation, or data warehouse environments.
Hands-on experience in Data Warehouse and ETL testing with automation development expertise, preferably using IICS or PowerCenter.
Proficiency in SQL, Python, Unix/shell scripting and knowledge of Google Cloud Platform (GCP).
Experience with AI-assisted tools for automation, Agile delivery tools like Jira or Rally, and understanding of SDLC practices.
Strong hands-on technologist focused on data quality, testing automation, and problem-solving in enterprise data workflows.
Experience owning large-scale data testing and quality assurance within Agile delivery models.
Ability to work independently and collaborate across global cross-functional teams in a fast-paced, regulated enterprise environment.