Data Engineer (Python | Airflow | Machine Learn...

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<p><b>Join Our Team</b></p><p><br></p><p>Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.</p><p><br></p><p>As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.</p><p><br></p><p>We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.</p><p><br></p><p><strong>About the Role</strong></p> <p> </p> <p> </p><p data-start="443" data-end="584">We are looking for a <strong data-start="464" data-end="481">Data Engineer</strong> with strong experience in building scalable data pipelines and exposure to Machine Learning workflows.</p> <p data-start="586" data-end="864">This role focuses on designing and maintaining robust data infrastructure while supporting data-driven and AI-powered applications. You will work closely with data scientists, engineers, and product teams to ensure data is reliable, accessible, and ready for advanced use cases.</p> <p data-start="866" data-end="1029">We are looking for someone who combines strong engineering fundamentals with the ability to support <strong data-start="966" data-end="1028">ML pipelines and data workflows in production environments</strong>.</p> <p></p> <p></p><p><br></p><b>Key Responsibilities:</b><ul> <li data-section-id="wi4e7t" data-start="1064" data-end="1148">Design, build, and maintain scalable <strong data-start="1103" data-end="1146">data pipelines using Python and Airflow</strong></li> <li data-section-id="duibbm" data-start="1149" data-end="1228">Develop and optimize ETL/ELT processes for structured and unstructured data</li> <li data-section-id="v91j6v" data-start="1229" data-end="1310">Collaborate with data science teams to support <strong data-start="1278" data-end="1308">Machine Learning workflows</strong></li> <li data-section-id="1ok4l6t" data-start="1311" data-end="1379">Ensure data quality, reliability, and performance across systems</li> <li data-section-id="17a6z1c" data-start="1380" data-end="1449">Work with large datasets and optimize queries and transformations</li> <li data-section-id="1xi53er" data-start="1450" data-end="1511">Integrate data from multiple sources and external systems</li> <li data-section-id="1jz0yxg" data-start="1512" data-end="1572">Monitor and improve pipeline performance and reliability</li> <li data-section-id="18c4ec5" data-start="1573" data-end="1654">Support deployment and maintenance of data-driven and ML-enabled applications</li> </ul><p><br></p><b>Must-Have:</b><ul> <li data-section-id="1xems21" data-start="1677" data-end="1744">4+ years of experience in <strong data-start="1705" data-end="1742">Data Engineering or similar roles</strong></li> <li data-section-id="1sd2uqz" data-start="1745" data-end="1826">Strong proficiency in <strong data-start="1769" data-end="1824">Python for data processing and pipeline development</strong></li> <li data-section-id="1m362er" data-start="1827" data-end="1907">Hands-on experience with <strong data-start="1854" data-end="1872">Apache Airflow</strong> (or similar orchestration tools)</li> <li data-section-id="99f0vc" data-start="1908" data-end="1983">Experience building and maintaining <strong data-start="1946" data-end="1981">ETL/ELT pipelines in production</strong></li> <li data-section-id="1d7y2bc" data-start="1984" data-end="2040">Strong knowledge of <strong data-start="2006" data-end="2038">SQL and relational databases</strong></li> <li data-section-id="1o1ewak" data-start="2041" data-end="2093">Experience working with <strong data-start="2067" data-end="2091">large-scale datasets</strong></li> <li data-section-id="iwwhcv" data-start="2094" data-end="2179">Exposure to <strong data-start="2108" data-end="2177">Machine Learning workflows or data pipelines supporting ML models</strong></li> <li data-section-id="1sfizp2" data-start="2180" data-end="2251">Experience working with <strong data-start="2206" data-end="2249">cloud environments (AWS, GCP, or Azure)</strong></li> <li data-section-id="oozal5" data-start="2252" data-end="2319">Strong problem-solving skills and ability to work independently</li> </ul><p><br></p><b>Nice to Have:</b><ul> <li data-section-id="17x4rqd" data-start="2345" data-end="2418">Experience with <strong data-start="2363" data-end="2416">ML frameworks (TensorFlow, PyTorch, Scikit-learn)</strong></li> <li data-section-id="18epvvq" data-start="2419" data-end="2490">Experience with <strong data-start="2437" data-end="2488">data warehouses (Snowflake, BigQuery, Redshift)</strong></li> <li data-section-id="1cbawpv" data-start="2491" data-end="2554">Experience with <strong data-start="2509" data-end="2552">streaming technologies (Kafka, Kinesis)</strong></li> <li data-section-id="1x2jvtn" data-start="2555" data-end="2626">Familiarity with <strong data-start="2574" data-end="2624">feature engineering and model data preparation</strong></li> <li data-section-id="17nqpu4" data-start="2627" data-end="2685">Experience with <strong data-start="2645" data-end="2683">CI/CD pipelines for data workflows</strong></li> </ul><p><br></p><p></p> <p><br></p><p><b style="font-size: 18px">Benefits & Perks:</b></p><p><br></p><p><span style="font-size: 11pt">Home office;</span></p><p><span style="font-size: 11pt">Competitive compensation based on experience;</span></p><p><span style="font-size: 11pt">Career plans to allow for extensive growth in the company;</span></p><p><span style="font-size: 11pt">International Projects;</span></p><p><span style="font-size: 11pt">Oowlish English Program (Technical and Conversational);</span></p><p><span style="font-size: 11pt">Oowlish Fitness with Total Pass;</span></p><p><span style="font-size: 11pt">Games and Competitions;</span></p><p><br></p><p><br></p><p><b>You can also apply here:</b></p><p><br></p><p>Website: https://www.oowlish.com/work-with-us/</p><p>LinkedIn: https://www.linkedin.com/company/oowlish/jobs/</p><p>Instagram: https://www.instagram.com/oowlishtechnology/</p><p><br></p><p><br></p>