Beyond Soluções
Beyond Soluções
Beyond Soluções — moslashuvchan yetkazib berish jamoalari, texnik maslahat va dasturiy ta’minotga asoslangan xizmatlar orqali moliya bozoriga xizmat ko‘rsatuvchi texnologik konsalting kompaniyasi. 2017-yilda tashkil etilgan kompaniya ixtisoslashgan jamoalarni texnologik konsalting hamda Hunting va Outsourcing 2.0 kabi talent yechimlari bilan birlashtiradi. Uning raqamli onboarding mahsuloti moliyaviy xizmatlar tashkilotlariga mijozlarni tezroq va xavfsizroq ro‘yxatdan o‘tkazishga yordam berish uchun sun’iy intellektdan foydalanadi, shu bilan birga operatsion samaradorlik, muvofiqlik va bozorga chiqish muddatini tezlashtirishni qo‘llab-quvvatlaydi.

Senior Data Engineer — Remote in Brazil

Senior remote data engineer role supporting Monte Bravo by building data pipelines and a lakehouse architecture. Work with Python, PySpark, AWS, and dbt to develop an innovative financial platform.

Tavsif

  • Develop Python applications and production-ready data pipelines
  • Process high-volume datasets in distributed environments with PySpark
  • Build, manage, and govern data transformations with dbt
  • Orchestrate data workflows using Airflow
  • Use GitHub for version control, pull requests, code reviews, and CI/CD integration
  • Work with AWS services such as Lambda, CloudWatch, S3, Redshift, and Aurora
  • Implement and use Apache Iceberg
  • Apply Data Lakehouse and Medallion Architecture patterns
  • Perform ETL and ELT processes
  • Help build an innovative financial platform from the ground up without technical legacy

Talablar

  • Demonstrated Python experience building performant, maintainable applications and data pipelines
  • Experience using PySpark to process large distributed datasets
  • Advanced SQL skills
  • Experience building and governing data transformations with dbt
  • Working knowledge of Airflow for pipeline orchestration
  • Strong GitHub experience covering version control, pull requests, code reviews, and CI/CD integration
  • Knowledge of AWS services, particularly Lambda, CloudWatch, S3, Redshift, and Aurora
  • Experience with Apache Iceberg
  • Understanding of Data Lakehouse and Medallion Architecture
  • Experience with ETL and ELT workflows
  • Databricks experience is a plus
  • Kafka knowledge is a plus, especially for producer development and event-driven messaging

Imtiyozlar

  • Opportunities for professional development from end to end
  • Supportive and healthy working environments
  • Hands-on projects with meaningful real-world impact
  • A culture that encourages innovation, technical ownership, and autonomy
  • The chance to build a platform from the ground up without technical legacy
  • Access to leading tools, established best practices, and innovative approaches

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