5 publicaciones de empleo destacadas de data engineer en vallejo, cdmx (¡Están contratando!)

Analytics Engineer
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
- Vacaciones adicionales o permisos con goce de sueldo
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Analytics Engineer - Credit
Klar Technologies SA de CV SFP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- Inglés
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4h
Forward Deployed Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- SQL
- Python
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EY GDS Mexico - Senior Data Engineer
EY —Miguel Hidalgo, CDMX
Data Engineer
Stefanini Latam —Ciudad de México, CDMX
- Oracle
- Linux
- Python
13h

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Analytics Engineer

Darwin AI -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo

Cualificaciones

Inglés
SQL
Portugués
Python

Descripción completa del empleo

About Darwin AI:

Darwin AI is transforming the way businesses interact with their customers by deploying AI-powered agents that enhance customer experience and streamline operations. We are a fast-growing company with a strong presence in Latin America, and we are looking for talented individuals to join our team.

Role Overview:

We are seeking a Semi-Senior Analytics Engineer to join our data team. The ideal candidate is a proactive, analytical thinker who enjoys working with large datasets, extracting meaningful insights, and supporting data-driven decision-making across the company. You will collaborate with various teams, including product, sales, and operations, to optimize our AI solutions and business strategies.

Key Responsibilities:

Own the entire ELT pipeline to provide the company with the data they need.
Design, develop and maintain dashboards for our company to be data-driven.
Work closely with cross-functional teams to help them be more data-driven.
Support the optimization of AI performance with data analytics.
Document and present findings to stakeholders in a clear and concise manner.

Requirements

2-4 years of experience in data analytics, analytics engineering or data engineering.
Strong proficiency in SQL for querying and building datasets.
Experience working with Python in production using version control.
Experience using orchestrator tools like Airflow or Dagster.
Experience using data transformation tools like dbt.
Strong problem-solving skills and attention to detail.
Ability to communicate complex data findings in a clear and business-oriented manner.
English proficiency for reading and writing; speaking is a plus.

Benefits

Language Classes: Access to language classes (English, Portuguese, Spanish) to enhance communication skills.
OpenAI Premium License: Complimentary access to an OpenAI premium license for personal or professional use.
Paid Time Off: Enjoy 25 days/year of paid vacations and holidays to recharge and maintain a healthy work-life balance.
Soft Hybrid Work: We meet 3 days/month in our Co Work offices, the rest of the time you can work remotely from wherever you like!

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