Data Quality Engineer

7+ years in data quality engineering or quality. data validation, or governance.
Expert-level SQL skills (complex queries, validation, stored procedures).
Hands-on experience with AWS (Redshift, S3, Glue, Lambda, RDS, Athena).
Proficient in ETL tools (e.g., Talend, Informatica, AWS Glue, DBT).
Familiarity with data profiling, cleansing, and monitoring frameworks.
Strong in scripting: Python, PySpark, or Shell.
Experience with big data frameworks (Hadoop, Spark) is a plus.
Understanding of security testing and compliance best practices.
Financial services experience is a plus.
Tools & Technologies:
Testing Tools: JMeter, Gatling, LoadRunner, Postman, RestAssured, Soapui
Automation Frameworks: Selenium, Cypress, Playwright
TDM Tools: Delphix, IBM Optim, Informatica TDM
CI/CD: Jenkins, GitHub Actions, Azure DevOps
Cloud & Containers: AWS, Docker, Kubernetes
Databases: PostgreSQL, MySQL, MongoDB