Senior Data Engineer, Risk Technology, Mexico City

ION; Ciudad de México; Presencial; MXN 1,286,000 - 1,655,000; Jornada completa

Descripción de la vacante

A financial technology company in Mexico City is seeking a skilled Senior Data Engineer. Candidates should have 8+ years of experience in data-centric platforms, advanced proficiency in Python, and strong knowledge of AWS, Airflow, and Snowflake. If you thrive in a collaborative, agile environment and possess excellent communication skills, we encourage you to apply. This role will involve designing scalable data pipelines and managing delivery pipelines.

Formación

• 8+ years of experience delivering data-centric platforms with large datasets.
• Advanced proficiency in Python.
• Strong experience with AWS, Airflow, and Snowflake.
• Excellent command of spoken and written English (C1+).

Responsabilidades

• Analyze, design, code, test, configure, and modify software for platforms.
• Build and manage automated delivery pipelines for solutions.
• Implement monitoring, alerting, and logging for platforms.
• Collaborate with stakeholders to meet business and technical requirements.

Conocimientos

Python

AWS

Airflow

Snowflake

CI/CD

Agile methodologies

Data engineering technologies

Interpersonal skills

Organizational skills

Descripción del empleo

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 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.

Responsibilities

• 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.

Requirements

• 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.
• Strong interpersonal and organizational skills, with the ability to work collaboratively.
• Excellent command of spoken and written English (C1+)

Desired skills

• Proven experience with market and credit counterparty risk platforms

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.