Data Engineer

3 weeks ago


San Francisco, United States Azumo, LLC Full time

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 position will give you the opportunity to collaborate with a growing team and bright engineering minds in big data computing. You will enjoy the role if you love designing and developing scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or any similar frameworks, both on premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI and ML platforms is what we are looking for.At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge.Based in San Francisco, California, Azumo is an innovative software development firm helping 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 initiatives for companies of all sizes.If you are qualified for the opportunity and looking for a challenge please apply online at https://azumo.workable.com or connect with us at people@azumo.coThe Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.Basic QualificationsBS or Master’s degree in Computer Science, related degree, or equivalent experience5+ years experience with data-related and data management responsibilitiesDeep expertise in designing and building data warehouses and big data analytics systemsPractical experience manipulating, analyzing and visualizing dataSelf-driven and motivated, with a strong work ethic and a passion for problem solvingPreferred QualificationsExperience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or QubolePrior experience with notebooks using Jupyter, Google Collab, or similar.BenefitsPaid time off (PTO)U.S. HolidaysTrainingUdemy free Premium accessMentored career developmentFree English CoursesProfit Sharing$US Remuneration #J-18808-Ljbffr


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