This role serves as the ultimate gatekeeper for data quality by independently verifying the accuracy of complex ESG and market intelligence solutions
Job Summary
This role serves as the ultimate gatekeeper for data quality by independently verifying the accuracy of complex ESG and market intelligence solutions.
Candidates will design robust testing frameworks using Python and SQL while managing scalable environments with Docker and Kubernetes.
The team fosters a culture that values diverse skills and empowers engineers to leverage modern technology like Applied AI to enhance testing capabilities.
Matching Summary
This role serves as the ultimate gatekeeper for data quality by independently verifying the accuracy of complex ESG and market intelligence solutions.
Skills & Requirements
Must-have
Python data wrangling and analytical programming
SQL for complex data validation
API validation using XML JSON GraphQL
Docker and Kubernetes infrastructure management
Power BI visualization for defect resolution
Nice-to-have
Experience with ESG and Corporate Governance data
Applied AI and LLM integration for QA
Streamlit UI development skills
Knowledge of Great Expectations or Pandera libraries
Cloud infrastructure experience on AWS Azure GCP
Key Requirements
Bachelor's or Master's degree in Engineering or Computer Science
4 to 6 years of proven experience in data-driven QA or Data Quality roles