20 publicaciones de empleo destacadas de data & machine learning en ciudad de méxico, dif (¡Están contratando!)

Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Ingeniero(a) de Machine Learning | Python - ALVARO OBREGON, CDMX
LabServet —Álvaro Obregón, CDMX
- $34,000 a $35,000 por mes
- Tiempo completo
- Ingeniería
- Experiencia en bases de datos
- SQL
- Oportunidades de crecimiento
Postulación rápida
1d
Data Scientist Expert | Advanced Analytics & AI (Ciudad de México, Cuauhtémoc)
BBVA —Cuauhtémoc, CDMX
- Tiempo completo
- Azure
- Habilidades de comunicación
- Python
Científico de datos
Soluciones Integrales a la Medida SA de CV —Cantil del Pedregal, CDMX
- $35,000 a $40,000 por mes
- Tiempo completo
- Azure
- Ingeniería
- SQL
- Oportunidades de crecimiento
Postulación rápida
9d
Analista de Datos
GOOFIN —Colonia Polanco, CDMX
- $12,000 a $17,000 por mes
- Correo electrónico
- Ingeniería
- SQL
- Licenciatura
Postulación rápida
BI Azure Data Engineer
Connectingology —Ciudad de México, CDMX
- $60,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
10d
Software Engineer (Backend, Python) - Content Understanding
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- CAD
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
ANALISTA DE INTELIGENCIA ARTIFICIAL Y AUTOMATIZACIÓN
SMART SPONSORSHIP EVOLUTION —Lomas de Vista Hermosa, CDMX
- $25,000 a $30,000 por mes
- Lunes a viernes
- Microsoft Powerpoint
- Microsoft Excel
- Azure
- Horarios flexibles
Postulación rápida
4d
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
ML Ops Engineer JR
Ucloud —Ciudad de México, CDMX
- DevOps
- Python
Postulación rápida
GIS Mapping and HD Mapping Annotator
Voxelmaps —Juárez, CDMX
- Tiempo completo
- Inglés
- SQL
- Python
Postulación rápida
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
Data Scientist, Associate Scientist
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Digital Product Manager - Energy Forecast Products
DNV —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- Maestría
- Seguro de vida
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Data Scientist
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Doctorado
- Informática
Postulación rápida
Sr. Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
3d
Ingeniero de Inteligencia Artificial
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $50,000 a $85,000 por mes
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
2d
Software Development Engineer in Test
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Sin título de educación superior
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java

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Data Engineer (Azure) - Remote, Latin America

Bluelight Consulting
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Power BI
Modelado de datos
Azure
Informática
Big data
DevOps
Análisis de datos
Microsoft SQL Server
Git
Tableau
SQL
Licenciatura
Sistemas de control de versiones
Desarrollo de software
Visualización de datos
Requisitos comerciales
Python
Tecnologías de la información

Descripción completa del empleo

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

As an ETL Data Engineer, you will play a critical role in our client’s expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development professional who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued. By joining our client’s growing software consultancy, you will have the opportunity to contribute to challenging, market-standing projects within a collaborative community that deeply values hard work, continuous learning, personal growth, and professional development.

Responsibilities

ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading.
Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.
Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.
Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.
Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.
Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.
Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.
Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.
Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.
Security and Compliance: Ensure data security and compliance with data governance and privacy standards.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files.
Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data.
Knowledge of data integration best practices and tools.
Experience with version control systems, such as Git (Azure DevOps).
Strong problem-solving and analytical skills, with a keen attention to detail.
Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.
Familiarity with big data technologies, machine learning, and data analysis preferred.
Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.

Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.

You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You’ll collaborate with modern technologies and work alongside some of the best professionals in the industry!

If you’re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote

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data & machine learning empleos en ciudad de méxico, dif

Data Engineer (Azure) - Remote, Latin America

Ingeniero(a) de Machine Learning | Python - ALVARO OBREGON, CDMX

Data Scientist Expert | Advanced Analytics & AI (Ciudad de México, Cuauhtémoc)

Científico de datos

Analista de Datos

BI Azure Data Engineer

Software Engineer (Backend, Python) - Content Understanding

ANALISTA DE INTELIGENCIA ARTIFICIAL Y AUTOMATIZACIÓN

Data Engineer - Databricks

ML Ops Engineer JR

GIS Mapping and HD Mapping Annotator

Data Scientist - Life Sciences AI / ML

Data Scientist, Associate Scientist

Digital Product Manager - Energy Forecast Products

Machine Learning Platform Engineer

Data Scientist

Sr. Data Scientist

Ingeniero de Inteligencia Artificial

Software Development Engineer in Test

Software Development Engineer, Big Data

Quiero recibir la alerta de empleo más reciente para data & machine learning en ciudad de méxico, dif

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