Senior Data Engineer, Risk Technology, Mexico City

ION; Ciudad de México; Presencial; MXN 1.115.034 - 1.858.391; Jornada completa

Descripción de la vacante

A leading company in the financial services sector seeks a Senior Data Engineer in Mexico City with expertise in data engineering technologies and risk platforms. The role involves designing and implementing scalable data solutions and requires strong experience in Python, AWS, and Airflow. Ideal candidates will thrive in a collaborative environment and contribute to high-performance data platforms.

Formación

• 8+ years of experience delivering data-centric platforms.
• Advanced proficiency in Python and strong experience with AWS.
• Excellent command of spoken and written English (C1+).

Responsabilidades

• Analyze, design, code, test, and modify software for functional delivery.
• Build and manage automated delivery pipelines.
• Collaborate with stakeholders to meet business and technical requirements.

Conocimientos

Python

AWS

Airflow

Snowflake

Data analysis

Agile methodology

Descripción del empleo

Senior Data Engineer, Risk Technology, Mexico City

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Senior Data Engineer, Risk Technology, Mexico City

4 days ago Be among the first 25 applicants

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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.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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