onsite
CSV Data Integrity Lead / Lead Validation Engineer - Verista
Software Engineer
Lead the design and execution of CSV data validation frameworks for life‑science clients, ensuring data quality, compliance, and seamless integration across analytics pipelines using SQL, Python, and advanced ETL techniques.
About the role
Key Responsibilities
- Architect and maintain robust CSV validation pipelines that enforce data integrity across multiple life‑science datasets.
- Collaborate with data scientists, QA teams, and client stakeholders to define validation rules, error handling, and reporting standards.
- Develop and optimize SQL scripts and Python modules for data extraction, transformation, and validation against regulatory and internal quality benchmarks.
- Lead root‑cause analysis of data quality issues, implement corrective actions, and document lessons learned for continuous improvement.
- Mentor junior engineers, conduct code reviews, and promote best practices in data validation and quality assurance.
Requirements
- 5+ years of experience in data validation, quality assurance, or data engineering within regulated industries.
- Proficiency in SQL, Python, and ETL tooling for large‑scale CSV processing.
- Strong understanding of data governance, compliance standards (e.g., FDA, GxP), and life‑science data formats.
- Excellent problem‑solving skills, attention to detail, and ability to communicate complex findings to technical and non‑technical audiences.
- Experience with version control (Git), CI/CD pipelines, and automated testing frameworks is a plus.