Data Engineer Jr. – Advanced English - Remote from México

Nosotros; A distancia; MXN 25,000 - 35,000; Jornada completa

Descripción de la vacante

A global tech firm is seeking a Junior Data Engineer to support data integration and transformation tasks within an international project. Ideal for early-career professionals, this role emphasizes developing ETL scripts using AWS Glue, monitoring ETL jobs, and managing basic S3 bucket operations. Candidates should possess foundational skills in Python, SQL, and teamwork. This position offers a flexible and collaborative work environment and is fully remote, presenting an exciting opportunity to engage in global data projects.

Servicios

Flexible work environment

Opportunity for international projects

Formación

• Foundational knowledge in data operations and AWS.
• Experience in developing basic ETL scripts using AWS Glue.
• Familiarity with S3 bucket management and monitoring ETL jobs.

Responsabilidades

• Support data integration, processing, and transformation tasks.
• Develop basic ETL scripts and configure monitoring of DMS jobs.
• Maintain existing pipelines and document issues and solutions.

Conocimientos

Basic Python

Basic SQL

Basic Git knowledge

Problem-solving skills

Effective communication

Teamwork

Descripción del empleo

We are seeking a Junior Data Engineer to support data integration, processing, and transformation tasks within a dynamic, international project. This role is ideal for early-career professionals looking to grow their technical skills in data engineering. Early-career professional with foundational knowledge in data operations and AWS, focused on learning and implementing basic data lake solutions under supervision.

Development & Support

Development of basic ETL scripts using AWS Glue.

Configuration and monitoring of DMS jobs.

Implementation of simple data flows.

Maintenance of existing pipelines.

Participation in code reviews.

Documentation of issues and solutions.

Continuous learning of AWS services.

Collaboration in testing and QA activities.

Operations & Monitoring

Monitoring of ETL jobs.

Basic management of S3 buckets.

Documentation of operational processes.

Technical

Basic Python and SQL.

Basic Git knowledge.

Methodological

Technical documentation.

Teamwork.

Problem-solving skills.

Effective communication.

🎓 Required or Desired Certifications

• DMS: Basic task configuration.
• Glue: Basic ETL job development.
• Lake Formation: Basic permissions.
• DataZone: Basic catalog usage.
• Redshift: Basic queries and maintenance.
• S3: Basic bucket operations.
• KMS: Basic key usage.
• Macie: Basic monitoring.
• CloudWatch: Basic monitoring and metrics.
• CloudTrail: Log querying.
• IAM: Basic user and role management.
• AWS Organizations: Navigation between accounts.
• Python: Basic scripting.
• Terraform / CloudFormation: Basic template usage.
• CI/CD: Basic pipeline usage.
• Git: Basic commands.
• Shell scripting: Basic scripts.
• Apache Airflow / Step Functions: Basic use of DAGs or templates.
• PySpark: Basic functionality and paradigm fundamentals.

100% remote position

Short-term project with possibility of extension.

Opportunity to work on international data projects.

Flexible and collaborative work environment.