Data Engineer

3 semanas atrás

Buenos Aires Espírito Santo Brazil Azumo Tempo inteiro
Azumo is seeking a highly motivated Big Data Engineer for a fully remote position based in Latin America.

This role offers the opportunity to collaborate with a growing team of bright engineering minds in big data computing. The ideal candidate will enjoy designing and developing scalable, high-performance big data infrastructure using frameworks such as Spark, Kafka, Snowflake, or similar, on premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI, and ML platforms is essential.

At Azumo, we strive for excellence and believe in professional and personal growth. We support our team in achieving their goals and emphasize learning new technologies. We are committed to giving back 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 data, cloud, and mobility technologies. We combine expertise in strategy, data science, application development, and design to drive digital transformation for businesses of all sizes.

How to Apply

If qualified and seeking a challenge, please apply online at https://azumo.workable.com or contact us at people@azumo.co.

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, a related field, or equivalent experience
  • 5+ years of experience in data management and related responsibilities
  • Deep expertise in designing and building data warehouses and big data analytics systems
  • Practical experience in manipulating, analyzing, and visualizing data
  • Self-driven, motivated, with a strong work ethic and problem-solving passion
Preferred Qualifications:
  • Experience with cloud-based managed services like Airflow, Glue, Elastic Stack, Redshift, Snowflake, BigQuery, Azure SQL, EMR, Databricks, Qubole, or similar
  • Experience with notebooks using Jupyter, Google Colab, or similar tools
Benefits
  • Paid time off (PTO)
  • U.S. Holidays
  • Training opportunities
  • Udemy free Premium access
  • Mentored career development
  • 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
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