Key Skills:
• 5 to 8 years of experience into Python
• Strong proficiency in Python(data manipulation libraries like Pandas, NumPy) with writing clean, maintainable, and testable code.
• Design and develop scalable backend services for data validation.
• Implement high-throughput data processing pipelines.
• Integrate CheckMate with enterprise data systems and pipelines.
• Enable real-time and batch validation capabilities
• Design and implement - Field-level validations, Cross-field and relational rules & Schema and data integrity checks.
• Knowledge of parallel processing and asynchronous execution.
• Knowledge of caching, indexing and efficient data structures.
• Strong knowledge of API integration, and data extraction from both structured and unstructured sources
• Knowledge of distributed computing and data engineering techniques for scalable data processing
• Maintain auditability and traceability in validation workflows.
• Collaborate with Sustainalytics Data Services Digital, Client Services, Business Analysts, Data Engineers teams to deliver timely and accurate outputs.
• Good to have exposure to LLM.
• Good to have knowledge of anomaly detection using algorithms like Isolation Forest or similar.
• Good to have knowledge of SQL for querying and managing relational databases.
• Good to have Excel skills, including formulas, pivot tables, and automation techniques.
• Stay up-to-date with the latest developments in AI, and client facing technologies.
• Bachelor’s degree in Computer Engineering, Computer Science, or related field.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to manage multiple priorities and deliver under tight deadlines. Preferred Skills
• Experience with data visualization tools (Power BI, Tableau).
• Familiarity with version control (Git) and workflow automation.
• Knowledge of financial data and reporting standards is a plus.