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Data Engineer- Sueldo en Dolares

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ID Oferta:

37356

Ubicación:

Ciudad Autónoma de Buenos Aires, Buenos Aires 

Categoría:

Data Analytics, Data Science, Otros, Otros Sistemas/Tecnología
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Tipo de Puesto:

Full-time, Remoto

Fecha:

30/04/2021
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Descripción de la Oferta:

We are looking for a Data Engineer to be part of the team of an American Company, where the big data space is growing rapidly, beyond the data pipeline, you will also be instrumental in bringing the data-driven products and features to life and helping build the future of the company.

You will also have the opportunity to work with the product teams, building models and APIs to drive new features delivers analysis to further improve engagement in existing features, and empowers our business with real-time insights to drive growth in market share, engagement, and revenue. We see 1 trillion events per year and process 10TB of data daily.

The challenges of this position are:

  • Manage & improve a Hadoop-based data pipeline (EMR / Cloudera, Impala, Airflow, among others)

Requirements

  • At least 3 years of experience as a data engineer.

  • Experience working with Hive and Apache Airflow

  • Experience working with Hadoop

  • Experience in Python, primary with scripts

Optional Skills

  • Knowledge in Redshift/EMR

  • Experience with Elasticsearch

  • Experience working with a massive volume of Data.
     

The role could be based anywhere in Latam. 100% remote and $usd Salary (contractor)

 
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Future Manager Argentina
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Web: http://futuremanager.com.ar/
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Empresa


Future Manager Argentina
Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
Teléfono: 1140676499
Web: http://futuremanager.com.ar/

Data Engineer- Sueldo en Dolares

col-narrow-left   

ID Oferta:

37356

Ubicación:

Ciudad Autónoma de Buenos Aires, Buenos Aires 

Categoría:

Data Analytics, Data Science, Otros, Otros Sistemas/Tecnología
col-narrow-right   

Tipo de Puesto:

Full-time, Remoto

Fecha:

30/04/2021
col-wide   

Descripción de la Oferta:

We are looking for a Data Engineer to be part of the team of an American Company, where the big data space is growing rapidly, beyond the data pipeline, you will also be instrumental in bringing the data-driven products and features to life and helping build the future of the company.

You will also have the opportunity to work with the product teams, building models and APIs to drive new features delivers analysis to further improve engagement in existing features, and empowers our business with real-time insights to drive growth in market share, engagement, and revenue. We see 1 trillion events per year and process 10TB of data daily.

The challenges of this position are:

  • Manage & improve a Hadoop-based data pipeline (EMR / Cloudera, Impala, Airflow, among others)

Requirements

  • At least 3 years of experience as a data engineer.

  • Experience working with Hive and Apache Airflow

  • Experience working with Hadoop

  • Experience in Python, primary with scripts

Optional Skills

  • Knowledge in Redshift/EMR

  • Experience with Elasticsearch

  • Experience working with a massive volume of Data.
     

The role could be based anywhere in Latam. 100% remote and $usd Salary (contractor)