Subject Matter Expert - Advanced Data Testing for Quality at Scale

We are seeking a seasoned Subject Matter Expert (SME) in Advanced Data Testing to lead and optimize quality assurance practices across high‑scale data pipelines. The ideal candidate will bring deep expertise in data validation, data integrity assurance, automation frameworks, and best practices for ensuring data quality at scale across distributed systems, data lakes, and cloud platforms. This is a strategic and hands‑on role requiring collaboration across engineering, analytics, product, and governance teams to enforce quality gates and ensure trusted data delivery across the organization. Key Responsibilities: Analyze/create learning objectives for each course. Review/create Course Outline for each of the courses. Review video scripts (7-9 per course) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback. Provide relevant static or recorded demos/ screencast to be integrated in the videos. Incorporate one round of internal and client feedback. In case of AI/software/tool‑based courses, suggest relevant freeware. Write/review and test the codes to check. Review readings (4-6 per course, each up to 1200 words) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback. Create hands‑on activities (1-2 lab or any other client preferred format) per course. Incorporate one round of internal and client feedback. Review practice quiz and graded assessments (5 files, each comprising 5-10 questions) and suggest suitable edits, confirm technical accuracy. Incorporate one round of internal and client feedback. Record talking head videos (onsite/virtually on Zoom) for each course. There will be approx 20-25 minutes of video recording involved per course. Incorporate one round of internal and client feedback. Provide digital signatures to be included on the client platform. For all reviews - validate the content accuracy and provide recommendations/suggestions, write/re‑write to fill content gaps as necessary, write/test codes and labs, incorporate 1 round of internal feedback and 2 rounds of client feedback. Be available for Client discussions and content discussions as and when required. Qualifications: Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. 5+ years of experience in data engineering, QA, or data quality assurance roles. Proven experience designing and implementing scalable data testing frameworks . Strong command of SQL, Python , and experience with big data frameworks (e.g., Spark, Hive, Databricks). Familiarity with data observability and data governance tools . Hands‑on experience in cloud ecosystems such as AWS, GCP, or Azure . Excellent understanding of data modeling , ETL/ELT pipelines , and data lineage . Nice-to-Have: Experience in AI/ML model data testing or synthetic data generation . Contributions to open‑source data testing tools or frameworks. Certifications in cloud platforms or data quality tools. Understanding of data privacy regulations (e.g., GDPR, HIPAA) as related to data quality. #J-18808-Ljbffr