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3 дня назад

Delivery AI Data Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Delivery AI Data Engineer (Python/SQL/Cloud): Designing, developing, and delivering data solutions for consulting and BCG X projects, from rapid prototypes to enterprise-grade systems, with an accent on distributed data systems, databases, and cloud platforms. Focus on building and optimizing ETL processes, applying Big Data frameworks, leading analytics modules, and delivering insights across the full analytics lifecycle.

Location: São Paulo or Rio de Janeiro, Brazil, including surrounding areas within a 150 km radius

Company

hirify.global X is a technology and design unit of Boston Consulting Group that builds innovative businesses, products, and services with global clients.

What you will do

  • Design, develop, and deliver data solutions for consulting and hirify.global X projects.
  • Adapt data engineering solutions to client needs, from prototypes to enterprise-grade systems.
  • Build and optimize ETL processes across different systems.
  • Use Big Data tools and frameworks to meet project requirements.
  • Lead analytics modules, define outcomes with partner teams, and communicate insights clearly.
  • Mentor junior team members, share learnings, and improve technical best practices.

Requirements

  • Professional experience in data engineering across various industries, with a record of delivering analytics solutions in commercial environments.
  • Strong programming skills in Python and SQL.
  • Experience with relational databases such as PostgreSQL, MySQL, or MariaDB.
  • Experience with NoSQL databases, distributed data systems such as Spark or Hadoop, and at least one cloud platform: AWS, Azure, or GCP.
  • Bachelor’s or Master’s degree.
  • Fluency in Portuguese and English.

Nice to have

  • Experience with data orchestration tools such as Airflow, Data Factory, Glue, Prefect, or Dagster.
  • Experience with data visualization, data modeling, containerization, streaming frameworks, or Azure Data Lake Storage.
  • Experience with Power BI, Tableau, Looker, Snowflake, Docker, Kubernetes, Kafka, or star-schema modeling.

Culture & Benefits

  • Work with multidisciplinary teams across consulting, technology, and design.
  • Collaborate on innovative projects addressing complex client and societal challenges.
  • Participate in technical training and support the development of junior colleagues.
  • Work within a global ecosystem focused on building impactful products and services.

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