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Data Engineer (Python | Airflow | Machine Learning)

1 hour, 38 minutes ago
Mexico, Argentina, Brazil, Colombia
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow AWS Azure CI/CD Feature Engineering GCP Kafka Machine Learning Python PyTorch Scikit-learn Snowflake SQL TensorFlow
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Oowlish

Oowlish

Top Nearshore Software Developers And Tech Squads | Oowlish Oowlish provides companies of all sizes access to the best technical talent in Brazil, making innovation more accessible and convenient than ever. Because our mission is to give every company,...

Internet Software & Services
51-250
Founded 2017
View All Jobs 22

Description

  • Design, build, and maintain scalable data pipelines using Python and Airflow.
  • Develop and optimize ETL/ELT processes for structured and unstructured data.
  • Collaborate with data science teams to support machine learning workflows.
  • Ensure data quality, reliability, and performance across data systems.
  • Work with large datasets and optimize queries and transformations.
  • Integrate data from multiple sources and external systems.
  • Monitor and improve pipeline performance and reliability.
  • Support deployment and maintenance of data-driven and ML-enabled applications.

Requirements

  • 4+ years of experience in Data Engineering or a similar role.
  • Strong proficiency in Python for data processing and pipeline development.
  • Hands-on experience with Apache Airflow or similar orchestration tools.
  • Experience building and maintaining ETL/ELT pipelines in production.
  • Strong knowledge of SQL and relational databases.
  • Experience working with large-scale datasets.
  • Exposure to machine learning workflows or data pipelines supporting ML models.
  • Experience working with cloud environments such as AWS, GCP, or Azure.
  • Strong problem-solving skills and ability to work independently.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn (nice to have).
  • Experience with data warehouses such as Snowflake, BigQuery, or Redshift (nice to have).
  • Experience with streaming technologies such as Kafka or Kinesis (nice to have).
  • Familiarity with feature engineering and model data preparation (nice to have).
  • Experience with CI/CD pipelines for data workflows (nice to have).

Benefits

  • Remote work with home office support.
  • Competitive compensation based on experience.
  • Career plans with opportunities for extensive growth.
  • International projects with global clients.
  • Oowlish English Program for technical and conversational English.
  • Oowlish Fitness with Total Pass.
  • Games and competitions.

Interested in this position?

Apply directly on the company website

Apply Now

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