**Remote position for Argentina.** **What you will do** - Design, develop, and maintain data pipelines and ETL processes on AWS to ensure the availability and accessibility of data for analytics and machine learning purposes; - Collaborate with Data Scientists to set up and optimize data for their experiments; - Utilize AWS Sagemaker for model development, training, and deployment; - Implement data quality checks and monitoring to guarantee data accuracy and reliability; - Work on optimizing data storage, querying, and processing for scalability and performance; - Troubleshoot data engineering issues and provide timely resolutions. **Must haves** - 5+ years of experience in Data Engineering roles; - 2+ years of experience working with Sagemaker - Proven experience working with AWS Data Services; - Proven experience configuring infrastructure resources - Experience with business intelligence or machine learning - Strong communication skills with excellent interpersonal effectiveness; - Demonstrated ability to prioritize tasks effectively, delivering work with speed and high quality. **Nice to haves** - Experience working with AWS Glue; - Experience working with Data Science experiments setup; **The benefits of joining us** - **Professional growth** Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - **Competitive compensation** We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - **A selection of exciting projects** Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - **Flextime** Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive. **Job Types**: Full-time, Contract