Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This role offers the opportunity to collaborate with a growing team and talented engineers in big data computing. The ideal candidate will enjoy designing and developing scalable, high-performance big data infrastructure using Spark, Kafka, Snowflake, or similar frameworks , on-premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI, and ML platforms is required. At Azumo , we strive for excellence and believe in professional and personal growth. We support our team members in achieving their goals and encourage continuous learning of new technologies. We are committed to giving back to the community through philanthropy, open source initiatives, and knowledge sharing. Based in San Francisco, California, Azumo is an innovative software development firm that helps organizations make insightful decisions using the latest technologies in data, cloud, and mobility. We combine expertise in strategy, data science, application development, and design to drive digital transformation for companies of all sizes. If you meet the qualifications and are looking for a challenge, please apply online at https://azumo.workable.com or contact us at [email protected] . Requirements The Data Engineer will be based remotely. Compensation will be commensurate with experience and potential. Basic Qualifications: BS or Master's degree in Computer Science, related field, or equivalent experience 5+ years experience with data management responsibilities Deep expertise in designing and building data warehouses and big data analytics systems Practical experience manipulating, analyzing, and visualizing data Self-driven and motivated with a strong work ethic and problem-solving passion Preferred Qualifications: Experience with cloud services like Airflow, Glue, Redshift, Snowflake, BigQuery, Azure SQL, EMR, Databricks, etc. Experience with notebooks such as Jupyter or Google Colab Benefits Paid time off (PTO) U.S. Holidays Training and development resources Udemy Premium access Mentored career growth Free English courses Profit sharing US Dollar remuneration Additional Information Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and Consulting #J-18808-Ljbffr