Data Engineer

3 semanas atrás

Buenos Aires Espírito Santo Brazil Azumo Tempo inteiro

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 of bright engineering minds in big data computing. The ideal candidate loves 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 in achieving their goals and encourage learning new technologies. We also commit to giving back to our 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 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 people@azumo.co.

Requirements

The Data Engineer will work remotely. Compensation depends on 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
  • Expertise in designing and building data warehouses and big data analytics systems
  • Experience manipulating, analyzing, and visualizing data
  • Self-driven, 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 Jupyter, Google Colab, or similar notebooks
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: Other
  • Industry: IT Services and IT Consulting
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