DATA ENGINEER - LATIN AMERICA - REMOTE

40.000.000 - 80.000.000


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. You will enjoy designing and developing scalable, high-performance big data infrastructure using Spark, Kafka, Snowflake, or similar frameworks , both 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' success and encourage learning new technologies. We are committed to giving back through philanthropy, open source initiatives, and sharing knowledge. Based in San Francisco, California, Azumo is an innovative software development firm helping organizations make insightful decisions using the latest in data, cloud, and mobility technologies. We combine expertise in strategy, data science, application development, and design to drive digital transformation for companies of all sizes. If qualified and seeking a challenge, please apply online at https://azumo.workable.com or contact us at [email protected] . Requirements The Data Engineer will work remotely. Compensation is commensurate with experience and potential. Basic Qualifications: BS or Master's degree in Computer Science, related field, or equivalent experience 5+ years of 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 with a strong work ethic and problem-solving passion Preferred Qualifications: Experience with cloud managed services like Airflow, Glue, Elastic Stack, Redshift, Snowflake, BigQuery, Azure SQL, EMR, Databricks, Qubole, etc. Experience with notebooks such as Jupyter or Google Colab Benefits Paid time off (PTO) U.S. Holidays Training and Udemy Premium access Mentored career development Free English courses Profit sharing US dollar remuneration Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and Consulting #J-18808-Ljbffr

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