Ion12mo ago

Senior Data Engineer, Risk Technology, Mexico City

Mexico City,Mexico CityFull-time (hybrid)senior

OtherData EngineeringData EngineerDataTechnologyData & AI

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Quick Summary

Overview

Lab49 is seeking a skilled and experienced Mexico City-based Senior Data Engineer to join our innovative team. The ideal candidate will possess expertise in data engineering technologies, experience with market and credit counterparty risk platforms , and a solid understanding of the financial…

Technical Tools

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Lab49 is seeking a skilled and experienced Mexico City-based Senior Data Engineer to join our innovative team. The ideal candidate will possess expertise in data engineering technologies, experience with market and credit counterparty risk platforms , and a solid understanding of the financial services sector. If you thrive in a collaborative, agile environment and excel at building scalable, high-performance data platforms, we’d love to hear from you.

Analyze, design, code, test, configure, and modify software for the functional delivery of platforms and solutions using programming languages and development methodologies.

Design, develop, test, debug, and implement platforms, solutions, software tools, and utilities to ensure acceptable performance and service levels.

Build and manage automated delivery pipelines for platforms and solutions using source control, infrastructure as code, and continuous integration practices.

Implement monitoring, alerting, logging, and tracing to ensure the durability, availability, and performance of platforms and solutions.

Collaborate with the Data Warehouse Architect to ensure successful platform strategies.

Design and optimize scalable data pipelines using technologies like Airflow, Snowflake, and AWS cloud services.

Work closely with stakeholders to ensure platforms meet both business and technical requirements.

Produce technical documentation, including testing, training, and delivery artifacts.

8+ years of experience delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards.

Advanced proficiency in Python.

Strong experience with AWS, Airflow, and Snowflake.

Comfortable working in an agile delivery environment.

Self-sufficient in a CI/CD environment, with hands-on experience automating deployments.

Proven ability to contribute as an individual, including reviewing pull requests and ensuring quality code.

Experience troubleshooting and debugging simple to complex issues.