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Senior Data Engineer

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ID Oferta:

27024

Ubicación:

Remoto, REM 

Categoría:

Data Science, DBA
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Tipo de Puesto:

Full-time, Remoto

Fecha:

10/11/2020
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Descripción de la Oferta:

We are looking for dynamic, dedicated and committed individuals with a strong desire to grow, that can drive the brand forward on its truly exciting journey. 

Key Responsibilities
Data Pipelines

  • Review the current ETL framework of data pipelines and propose new initiatives to improve reliability and overall robustness.
  • Work side by side with BI Architects and BI Developers to create and ensure best practices and guidelines are being used properly by all projects.
  • Assess and communicate effectively the effort for required developments.
  • Be in charge of build and maintain data pipelines for new and existing initiatives.


Model Automation

  • Create and maintain predictive model automations, to execute and deliver data, both in online and offline executions.
  • Automate feature transformations for machine learning models.
  • Develop a framework to control main KPIs for model accuracy, to automate re-train, alert when a lower threshold has been hit and keep healthy models running.



Data Analysis and Availability

  • Discover new data sources to improve new and existing data products.
  • Provide feedback and expert point of view as needed to help thrive all data initiatives in the company.
  • Improve quality of existing and new data processes, incorporating statistical process control

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Statistics, Economics or quantitative focused study
  • 3+ years of experience as a Data Engineer, ML Engineer or similar.
  • Experience data pipelines and ETL processes in modern technologies, such as Python, Spark, Airflow, etc.
  • Experience putting ML models in production, preferably using ML Framework, such as KubeFlow, MLFlow, PyTorch, etc.
  • Deep experience in data analysis and manipulation, both in SQL and NoSQL databases.
  • Experience working on a cloud-based environment, preferably AWS.
  • Knowledge and overall understanding of popular machine learning algorithms.
  • Highly analytical and quantitative, with strong attention to detail.
  • Proactive in taking ownership of projects and issues.
  • Capability to manage several projects and areas.
  • Passionate about learning and implementing new data-related technologies in the market.
  • Ability to communicate complex ideas effectively.
  • Eager to take on new challenges and learn new things.
  • Experience in marketing analytics or e-commerce analytics (desirable).

Benefits

  • Live Where You Want: Proximity doesn’t influence productivity. As a global distributed team, you can live and work wherever you want.
  • Up Your Game: We love to see our people growing fast. We budget for it! Think courses, conferences, events.
  • Paid vacation
  • Competitive salary.
  • Company performance bonus based on results.
  • Get paid to exercise and meditate
  • Family leave and dismissal protection
    Trabajos Similares

    Data Engineer

    Future Manager Argentina Ciudad Autónoma de Buenos Aires, Buenos Aires
    Empresa
    Mibucle
    Mibucle BUCARELLI 2072
    Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
    Web: https://www.mibucle.com
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    Empresa


    Mibucle
    BUCARELLI 2072
    Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
    Teléfono: 01157650600
    Web: https://www.mibucle.com

    Senior Data Engineer

    col-narrow-left   

    ID Oferta:

    27024

    Ubicación:

    Remoto, REM 

    Categoría:

    Data Science, DBA
    col-narrow-right   

    Tipo de Puesto:

    Full-time, Remoto

    Fecha:

    10/11/2020
    col-wide   

    Descripción de la Oferta:

    We are looking for dynamic, dedicated and committed individuals with a strong desire to grow, that can drive the brand forward on its truly exciting journey. 

    Key Responsibilities
    Data Pipelines

    • Review the current ETL framework of data pipelines and propose new initiatives to improve reliability and overall robustness.
    • Work side by side with BI Architects and BI Developers to create and ensure best practices and guidelines are being used properly by all projects.
    • Assess and communicate effectively the effort for required developments.
    • Be in charge of build and maintain data pipelines for new and existing initiatives.


    Model Automation

    • Create and maintain predictive model automations, to execute and deliver data, both in online and offline executions.
    • Automate feature transformations for machine learning models.
    • Develop a framework to control main KPIs for model accuracy, to automate re-train, alert when a lower threshold has been hit and keep healthy models running.



    Data Analysis and Availability

    • Discover new data sources to improve new and existing data products.
    • Provide feedback and expert point of view as needed to help thrive all data initiatives in the company.
    • Improve quality of existing and new data processes, incorporating statistical process control

    Requirements

    • Bachelor’s degree in Computer Science, Engineering, Statistics, Economics or quantitative focused study
    • 3+ years of experience as a Data Engineer, ML Engineer or similar.
    • Experience data pipelines and ETL processes in modern technologies, such as Python, Spark, Airflow, etc.
    • Experience putting ML models in production, preferably using ML Framework, such as KubeFlow, MLFlow, PyTorch, etc.
    • Deep experience in data analysis and manipulation, both in SQL and NoSQL databases.
    • Experience working on a cloud-based environment, preferably AWS.
    • Knowledge and overall understanding of popular machine learning algorithms.
    • Highly analytical and quantitative, with strong attention to detail.
    • Proactive in taking ownership of projects and issues.
    • Capability to manage several projects and areas.
    • Passionate about learning and implementing new data-related technologies in the market.
    • Ability to communicate complex ideas effectively.
    • Eager to take on new challenges and learn new things.
    • Experience in marketing analytics or e-commerce analytics (desirable).

    Benefits

    • Live Where You Want: Proximity doesn’t influence productivity. As a global distributed team, you can live and work wherever you want.
    • Up Your Game: We love to see our people growing fast. We budget for it! Think courses, conferences, events.
    • Paid vacation
    • Competitive salary.
    • Company performance bonus based on results.
    • Get paid to exercise and meditate
    • Family leave and dismissal protection