20 publicaciones de empleo destacadas en salesforce application engineer (¡Están contratando!)

AWS Data Engineer – Remote
U-Hi —Desde casa
- $85,000 a $90,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
- Inglés
- SQL
Postulación rápida
10h
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- SQL
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- Tiempo completo
- Home Office (Desde casa)
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- Home Office (Desde casa)
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- Incluye fines de semana
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Salesforce —Ciudad de México, CDMX
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Quality Engineering MTS
Salesforce —Ciudad de México, CDMX
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Thales —Federal, CDMX
- Tiempo completo
- Disponibilidad para viajar hasta un 50 %
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Axis Communications —Ciudad de México, CDMX
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Delinea —Ciudad de México, CDMX
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- Informática
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Web Analytics Developer
Hire Overseas —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
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Postulación rápida

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AWS Data Engineer – Remote

U-Hi
Desde casa

Postulación rápida

Información del empleo

Tiempo completo
$85,000 a $90,000 por mes
Hace 10 horas

Cualificaciones

SFTP
XML
Salesforce
Cifrado
Inglés
SQL
SharePoint
Seguridad
S3
Apache
Redshift
Habilidades de comunicación
Python
Gestión de identidades y accesos

Descripción completa del empleo

AWS Data Engineer

Location: Remote (Mexico)
Salary: Up to $90,000 MXN gross per month

We are looking for an experienced AWS Data Engineer with strong expertise in Python, data pipelines, SQL, AWS services, and cloud data engineering solutions. The ideal candidate will have hands-on experience building scalable data pipelines, optimizing data processes, implementing automation, and working with cloud-based data platforms.

Requirements

10+ years of professional experience in Data Engineering.
Strong communication skills and experience working directly with clients.
Detail-oriented professional with the ability to work independently and as part of a team.
100% hands-on experience with the required technologies and tools.

Programming & Data Engineering Skills

Advanced proficiency in Python, including:
Code structures
Modules and packages
Classes, subclasses, and inheritance
Multi-threading
Functional programming
Experience developing reusable Python packages for internal or public use.
Ability to develop and automate ETL processes.
Experience scheduling and managing workflows using tools such as Apache Airflow DAGs.
Ability to monitor pipeline executions, troubleshoot failures, and reprocess error records.
Experience orchestrating multiple data pipelines running sequentially or in parallel.
Experience importing and exporting data in formats such as CSV, JSON, and XML from cloud storage solutions (preferably AWS S3).
Experience using AI IDE tools.

SQL & Data Warehouse Skills

Advanced SQL skills, including:
Complex joins
CTEs
Subqueries
Experience optimizing SQL queries for performance.
Experience working with data warehouse technologies, preferably Snowflake.

Testing & Documentation

Experience implementing Python unit, integration, and system testing.
Experience implementing DBT tests for data validation and data quality checks.
Ability to create technical documentation and maintain data quality standards.

Code Generation & Version Control

Experience generating code using Python configurations and Jinja templates.
Strong experience with GitHub.
Experience implementing CI/CD processes from scratch.

AWS Experience

Strong knowledge of AWS data services, including:
Amazon S3 for data storage
ECS
IAM and security best practices
Understanding of AWS cloud security practices, including:
IAM roles and permissions
Encryption standards
Secure coding guidelines
DBT profile access configurations

Nice to Have Skills

Experience with AWS Lambda for serverless data processing.
Experience using Apache Airflow on AWS to design, schedule, and monitor complex data workflows.
Experience integrating Airflow with AWS services and DBT models, including:
Triggering DBT models
EMR processing
Reading from S3 and writing to Redshift or Snowflake
Experience integrating APIs with platforms such as:
Salesforce
SFTP
SharePoint
OneDrive
Other enterprise applications
Experience with DBT Core/Cloud:
Creating complex DBT models
Full refresh and incremental models
Snapshots
Documentation
Creating and maintaining DBT macros using Jinja and Python
Experience with monitoring and logging tools:
AWS CloudWatch
Datadog
Pipeline monitoring and workflow failure alerts

If you are a highly skilled AWS Data Engineer looking for a challenging opportunity in a remote environment, we would like to hear from you.

Job Type: Full-time

Pay: $85,000.00 - $90,000.00 per month

Language:

English (Required)

Work Location: Remote

Postulación rápida

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