Remote Senior Data Engineer — AWS & Python ETL

Proxify

Ciudad de México

A distancia

MXN 1.442.480 - 2.163.721

Jornada completa

14 días+
Generador de candidaturas

Una candidatura completa en un minuto — currículum adaptado y carta de presentación, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

On-time monthly payments
Flexible withdrawal options
Up to 24 flex days per year
Predictable 8-hour working days

Descripción de la vacante

A technology consulting firm is seeking a Senior Data Engineer to design and build scalable ETL/ELT pipelines. The ideal candidate has extensive experience in Python and AWS services, with a strong background in data modeling and cloud-based data warehouses. This position offers flexibility in a remote work setting, appealing to those seeking a balance between personal and professional life. Candidates should have a passion for data engineering and be excited about working on innovative projects.

Formación

  • 5+ years of professional experience in data engineering.
  • Proficient in Python for data manipulation and pipeline development.
  • Deep hands-on experience with AWS services for data handling.
  • Proven experience with modern data warehouses (e.g., Snowflake, Redshift).

Responsabilidades

  • Architect and maintain scalable ETL/ELT data pipelines using Python and AWS.
  • Design efficient data models for analytical needs.
  • Implement infrastructure as code using Terraform or CloudFormation.
  • Ensure data quality and governance standards across platforms.

Conocimientos

Python
AWS
SQL
ETL/ELT pipelines
Data modeling
Containerization
Docker
Kubernetes

Herramientas

Terraform
Apache Airflow
Kafka
Redshift
Snowflake

Descripción del empleo

A technology consulting firm is seeking a Senior Data Engineer to design and build scalable ETL/ELT pipelines. The ideal candidate has extensive experience in Python and AWS services, with a strong background in data modeling and cloud-based data warehouses. This position offers flexibility in a remote work setting, appealing to those seeking a balance between personal and professional life. Candidates should have a passion for data engineering and be excited about working on innovative projects.
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