Remote SAP & Snowflake Data Engineer — Flexible Hours

BairesDev

Chile

Presencial

CLP 82.267.000 - 118.830.000

Jornada completa

14 días+
Generador de candidaturas

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

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Ventajas ofrecidas por este puesto de trabajo

100% remote work
Competitive USD compensation
Hardware provided
Flexible hours
Paid parental leave
Global multicultural environment

Descripción de la vacante

BairesDev is seeking a Data Engineer specializing in SAP and Snowflake to join a fully remote global team. You will connect SAP data to cloud warehouses, enabling advanced analytics and real-time insights across the organization.

You will design automated ETL/ELT pipelines, develop Snowflake data models, and collaborate with stakeholders to map complex SAP objects into analytics-ready cloud schemas. Strong English and 4+ years of experience are required.

Formación

  • 4+ years in data engineering with SAP data integration.
  • Experience integrating SAP BW into Snowflake cloud data warehouses.
  • Proficient in developing/reporting with Power BI.
  • Strong background in hybrid data pipelines and English proficiency.

Responsabilidades

  • Design and implement ETL/ELT pipelines from SAP BW to Snowflake.
  • Develop data models in Snowflake to support BI and analytics.
  • Collaborate with stakeholders to map SAP objects to analytics schemas.
  • Ensure data integrity between ERP sources and cloud analytics layers.
  • Optimize queries and storage in Snowflake for large datasets.

Conocimientos

Data engineering
SAP data integration
Snowflake
Power BI
English

Descripción del empleo

BairesDev is seeking a Data Engineer specializing in SAP and Snowflake to join a fully remote global team. You will connect SAP data to cloud warehouses, enabling advanced analytics and real-time insights across the organization.

You will design automated ETL/ELT pipelines, develop Snowflake data models, and collaborate with stakeholders to map complex SAP objects into analytics-ready cloud schemas. Strong English and 4+ years of experience are required.

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