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
Advanced SQL for data profiling and validation
Automated API validation using XML JSON GraphQL
Docker and Kubernetes infrastructure management
Power BI visualization for quality reporting
Nice-to-have
Experience with ESG Corporate Governance data domains
Applied AI and LLM integration for QA automation
Familiarity with GitHub Copilot and LangChain tools
Low-code analytics using Great Expectations or Pandera
Cloud infrastructure knowledge on AWS Azure or 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 Analyst roles
Strong attention to detail with ability to identify patterns in raw datasets