Mid Data Engineer - Desde casa, México - Talent Accelerator

Talent Accelerator
Talent Accelerator
Empresa verificada
Desde casa, México

hace 2 semanas

Rodrigo Fernández

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee


Descripción

Responsibilities:


  • Design, develop, and maintain data pipelines and ETL processes to ensure efficient data extraction, transformation, and loading.
  • Create and optimize data models for storage and retrieval purposes.
  • Collaborate with crossfunctional teams to understand data requirements and implement solutions that meet business needs.
  • Implement data processing automation and ensure data quality throughout the data lifecycle.
  • Contribute to data governance efforts by establishing and enforcing data standards and policies.
  • Develop business intelligence solutions and data visualizations to empower stakeholders with actionable insights.
  • Participate actively in Agile team activities, including sprint planning, daily standups, and retrospectives.

Requirements:


  • 3 to 5 years of work experience as a Data Engineer.
  • Advanced conversational English.
  • Proficiency in SQL, ELT, and data modeling techniques.
  • Experience with at least one programming language (e.g., Python, C++, C#, Scala, etc.).
  • Functional understanding of data processing automation, data quality, data warehousing, data governance, business intelligence, and data visualization concepts.
  • Ability to exhibit responsibility and accountability towards quality completion of tasks.
  • Strong Agile team participation skills and the ability to adapt to diverse business environments.
  • Excellent problemsolving skills and attention to detail.

Please. upload your resume in English.

Tipo de puesto:
Tiempo completo, Por tiempo indeterminado


Salario:
$40, $60,000.00 al mes


Horario:

  • Lunes a viernes
  • Turno de 8 horas

Pregunta(s) de postulación:

  • How many years of work experience as a Data Engineer do you have?

Lugar de trabajo:
Empleo remoto

Más ofertas de trabajo de Talent Accelerator