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Well-known employer, metro location, and broad automation/data skillset drive high applicant density.
Data-quality and cloud-platform skills are moderately transferable but favor candidates from data-heavy or regulated domains.
Senior role requires extensive automation, CI/CD, cloud and data platform expertise, enforcing strict filters.
Design and maintain automated testing frameworks for APIs, applications, data pipelines, and cloud-based services to ensure data quality and reliability.
Implement data validation, profiling, reconciliation, monitoring, observability, and automated quality controls across enterprise data lake platforms.
Build automation solutions including internal tools, CI/CD processes, dashboards, and workflows leveraging Python, Node.js, SQL, cloud platforms (AWS, Azure, GCP), and modern data technologies.
Proven experience in test automation, quality engineering, software testing, or data quality for complex applications and data platforms.
Strong programming skills in Python, Node.js, SQL, and experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or Airflow.
Familiarity with cloud platforms (AWS, Azure, or GCP), APIs, microservices, distributed systems, and modern data platforms like Databricks, Spark, Kafka, Delta Lake, or Looker.
Work Experience Required: Not explicitly mentioned in the JD; overlap with U.S. business hours required.
Candidate will have a strategic focus on scalable automation in data quality and testing frameworks within cloud and data lake environments.
Experienced in cross-functional and global team collaboration with ability to align testing strategies across platforms and geographies.
Comfortable working with modern software architectures, distributed systems, and leveraging AI tools to enhance testing efficiency and quality assurance processes.