6 publicaciones de empleo destacadas de python en teoloyucan, mex (¡Están contratando!)

Senior Data Engineer, Risk Technology
Lab49 —City, Hgo.
- Tiempo completo
- Microsoft Excel
- Inglés
- Servicios financieros
Analista de Riesgo Operativo
BTG Pactual Europe —City, Hgo.
- Microsoft Excel
- Inglés
- Python
Analista de Ventas
Talent Development Consulting HH —Tlalnepantla, Méx.
- $20,000 a $21,000 por mes
- Tiempo completo
- Microsoft Excel
- Experiencia en ventas
- Inglés
Postulación rápida
2d
Sr. Cloud Engineer
BSL-LIM Mexico —Estado de México, Méx.
- Tiempo completo
- Azure
- DevOps
- Linux
Postulación rápida
Analista de Cobranza Fiduciario
Marsh —City, Hgo.
- Tiempo completo
- Trabajo híbrido
- Microsoft Excel
- Ingeniería
- Inglés
Senior Data Engineer, Risk Technology
ION —City, Hgo.
- Tiempo completo
- Microsoft Excel
- Inglés
- Servicios financieros

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This is a full-time position based in our Mexico City office with a hybrid model, therefore we are looking forward to seeing you in our office 2-3 times per…
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Senior Data Engineer, Risk Technology

Lab49 -
City, Hgo.

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Información del empleo

Tiempo completo

Cualificaciones

Microsoft Excel
Ingeniería de software
Inglés
Servicios financieros
Python
Debugging

Descripción completa del empleo

Mexico City

Lab49 – Software Engineering /

Full-time (hybrid) /

Hybrid

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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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Senior Data Engineer, Risk Technology

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