O que buscamos:

• Python:
  Strong understanding of Python and its application in data processing, including libraries such as pandas
• Airflow:
  Experience creating DAGs, maintaining workflows, and integrating with dbt-core
• DBT (dbt-core):
  Development and maintenance of models and macros
  Experience converting/migrating SQL code into dbt
• SQL Server:
  Advanced knowledge, including:
  • Performance tuning
  • Query optimization
  • Performance evaluation
• Git:
  Experience with layered deployment structures aligned with infrastructure teams
• Medallion Architecture:
  Operational understanding of the Medallion architecture (implementation not required)
• DataOps & On-Premise Environments:
  Practical, hands-on experience
• English:
  Minimum level B2 (Upper-Intermediate)

• Nice to Have

• Kubernetes:
  Intermediate knowledge (deployments, Helm, on-premise environments, and data-related use cases)
• Nifi:
  Basic operational knowledge
• Spanish:
  B1 level
• Data Science:
  Experience with document extraction (NLP using Python)

• Technology Stack

• Programming Language: Python
• Orchestration / Streaming: Apache Airflow
• Database: SQL Server
• Transformation / Modeling: dbt-core
• Version Control / SDLC: Git

• Soft Skills

• Strong communication skills
• Collaborative and proactive mindset
• Ability to work across the full data lifecycle
• Problem-solving orientation
• Ownership and autonomy in dynamic environments

Descrição comportamental:

• Goste de trabalhar em equipe e seja colaborativa em suas atribuições;
• Tenha coragem para se desafiar e ir além, abraçando novas oportunidades de crescimento;
• Transforme ideias em soluções criativas e busque qualidade em toda sua rotina;
• Tenha habilidades de resolução de problemas;
• Possua habilidade e se sinta confortável para trabalhar de forma independente e gerenciar o próprio tempo;
• Tenha interesse em lidar com situações adversas e inovadoras no âmbito tecnológico.