Oowlish Technology - Data Engineer (Python
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Requirements
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) • Experience with data warehouses (Snowflake, BigQuery, Redshift) • Experience with streaming technologies (Kafka, Kinesis) • Familiarity with feature engineering and model data preparation • Experience with CI/CD pipelines for data workflows
Responsibilities
• 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 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 • 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 (AWS, GCP, or Azure) • Strong problem-solving skills and ability to work independently
Benefits
• Competitive compensation based on experience; • Career plans to allow for extensive growth in the company; • International Projects; • Oowlish English Program (Technical and Conversational); • Oowlish Fitness with Total Pass; • Games and Competitions; • You can also apply here: • Website: https://www.oowlish.com/work-with-us/ • LinkedIn: https://www.linkedin.com/company/oowlish/jobs/ • Instagram: https://www.instagram.com/oowlishtechnology/ • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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