Full-Stack Data Engineer for Front-Office Analytics

Crisil; Bogotá; Presencial; COP 110.000.000 - 170.000.000; Jornada completa

Descripción de la vacante

CRISIL is seeking a mid-to-senior data engineer to join a globally distributed team. You will build and optimize data pipelines, databases, APIs, and React-based interfaces to empower Portfolio Management, Trading, Risk Analytics and investment teams.

You will own features end-to-end, collaborate with cross-functional groups, and focus on data quality, performance, and usability for AI-enabled workflows.

Formación

• 6-8 years of professional software engineering experience across backend/data engineering and frontend development.

Responsabilidades

• Build and enhance data ingestion and transformation pipelines for front-office and investment data, including near-real-time feeds.
• Design database structures across multiple stages from source data to curated datasets.
• Develop APIs and data-access patterns for efficient data consumption by applications and analytics workflows.
• Create React-based interfaces enabling investment professionals to explore and validate data.
• Collaborate with Portfolio Management, Trading, Risk and Data teams to translate workflows into technical solutions.
• Improve data quality, pipeline reliability, performance, and data lineage for downstream users.
• Apply software engineering best practices: testing, reviews, documentation, version control, production validation.
• Leverage AI-enabled tools to accelerate development, testing, and documentation.
• Expand access to trusted data for AI assistants and enterprise workflows.
• Participate in production support and issue triaging.

Conocimientos

Python

SQL

REST APIs

GraphQL APIs

Cloud data environments

Snowflake

Spark

React UI

AI development tools

Herramientas

Snowflake

Spark

Tableau

Power BI

Sigma/Pyramid

GitHub Copilot

Descripción del empleo

CRISIL is seeking a mid-to-senior data engineer to join a globally distributed team. You will build and optimize data pipelines, databases, APIs, and React-based interfaces to empower Portfolio Management, Trading, Risk Analytics and investment teams.

You will own features end-to-end, collaborate with cross-functional groups, and focus on data quality, performance, and usability for AI-enabled workflows.