Data Architectural Specialist

2 semanas atrás


Brasil beBeeDataEngineer Tempo inteiro US$80.000 - US$120.000

We are seeking a talented Data Engineer to join our team and work on building and maintaining data pipelines and solutions. This role offers the opportunity to grow your skills in modern data platforms and cloud technologies while working with diverse datasets and contributing to data-driven business decisions.

Our team is composed of top tech talent delivering solutions for leading companies and startups worldwide. We value innovation, collaboration, and continuous learning. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable and efficient data pipelines using modern data engineering tools.

Key Responsibilities:

  • Design and develop scalable and efficient data pipelines using modern data engineering tools.
  • Work with cloud platforms to process and store data.
  • Develop Python scripts for data processing and automation.
  • Collaborate with teams to support data requirements and analytics needs.

Requirements:

  • 5-6 years of overall experience in data engineering roles.
  • 1-2 years of experience with Snowflake.
  • Basic experience with DBT (Data Build Tool).
  • Some exposure to AWS services (S3, Glue).
  • 2-3 years of Python scripting experience.
  • Advanced level of English.
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: IT Services and IT Consulting

What We Offer:

  • 100% remote work (from anywhere).
  • Excellent compensation in USD or your local currency if preferred.
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

If you're passionate about data engineering and want to grow your skills in a dynamic and collaborative environment, we encourage you to apply.



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