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Data Engineer Senior – ETL & Python 2878

Role overview

Qualifications

  • 5 to 6 years of experience as a Data Engineer
  • Solid experience in ETL/ELT processes
  • Proficiency in Data Stream, Dataform and BigQuery
  • Advanced programming in Python and use of Pandas
  • Experience in integration and consumption of APIs
  • Advanced SQL skills, PostgreSQL and MySQL

Responsibilities

  • Design and maintain ETL/ELT processes for data integration and transformation
  • Develop pipelines using Data Stream, Dataform and BigQuery
  • Implement automation and scripting in Python using Pandas
  • Integrate internal and external APIs for information processing
  • Optimize SQL queries and manage PostgreSQL and MySQL databases
  • Ensure data quality, integrity, and availability
  • Collaborate with Analytics, BI, and Development teams

Key facts

Hard skills

Other skills

  • Teamwork
  • Collaboration
  • Problem Solving

About the company

Xideral logo

Xideral

IT Services & IT Consulting

We are a proudly Mexican corporation, with 20 years of experience and operations in Mexico, LATAM and Canada. We have a highly qualified team that allows us to create tailored solutions, implementations and provide services in the IT area, with the aim of achieving the goals of our customers and support their growth. We are committed to the educational and economic development of our country, so we design employment de-centralization programs that help reduce the migration of young people from disadvantaged regions, which creates a chain of welfare for the communities.

Company details

IndustryIT Services & IT Consulting
Company size201 - 500

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Job description

Data Engineer Senior – ETL & Python 

Buscamos un Desarrollador Data Engineer Senior con experiencia Diseño, desarrollo y optimización de pipelines de procesamiento de datos para soportar iniciativas analíticas y operativas del negocio, garantizando calidad, disponibilidad y escalabilidad de la información mediante tecnologías ETL, Python y plataformas cloud.

Requisitos indispensables:

  • Diseñar y mantener procesos ETL/ELT para integración y transformación de datos.
  • Desarrollar pipelines utilizando Data Stream, Dataform y BigQuery.
  • Implementar automatizaciones y scripting en Python utilizando Pandas.
  • Integrar APIs internas y externas para procesamiento de información.
  • Optimizar consultas SQL y administrar bases de datos PostgreSQL y MySQL.
  • Garantizar la calidad, integridad y disponibilidad de los datos.
  • Colaborar con equipos de Analytics, BI y Desarrollo.

Tech Stack:

  • 5 a 6 años de experiencia como Data Engineer.
  • Experiencia sólida en procesos ETL/ELT.
  • Dominio de Data Stream, Dataform y BigQuery.
  • Programación avanzada en Python y uso de Pandas.
  • Experiencia en integración y consumo de APIs.
  • Dominio de SQL avanzado, PostgreSQL y MySQL.
  • Experiencia trabajando con grandes volúmenes de información.
  • Deseables: Google Cloud Platform (GCP), Data Warehouse, Data Lake, metodologías ágiles, CI/CD para pipelines y procesamiento streaming / near real-time.

Ofrecemos un proyecto de 4 meses con posibilidad de extensión  y modalidad REMOTA


Si tienes pasión por la innovación tecnológica y deseas formar parte de un equipo dinámico, ¡queremos conocerte!

Para mayor información, revisa la descripción completa del puesto y  aplica  aqui.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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