Senior Data Engineer

Posted 1ds ago

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Job Description

Engenheiro de Dados Sênior remoto desenvolvendo pipelines e arquitetura lakehouse para a Monte Bravo. Construção de plataforma financeira inovadora com Python, PySpark, AWS e DBT.

Responsibilities:

  • Develop applications and data pipelines with Python
  • Process large volumes of data in a distributed environment using PySpark
  • Build and govern data transformations using dbt
  • Orchestrate pipelines with Airflow
  • Use GitHub for version control, pull requests, code reviews, and CI/CD integration
  • Work with AWS services, including Lambda, CloudWatch, S3, Redshift, and Aurora
  • Implement and work with Apache Iceberg
  • Apply Data Lakehouse and Medallion Architecture patterns
  • Execute ETL/ELT processes
  • Contribute to building an innovative financial platform from the ground up, with no technical legacy

Requirements:

  • Strong experience with Python, developing applications and data pipelines with a focus on performance, maintainability, and best practices
  • Experience with PySpark for distributed processing of large volumes of data
  • Advanced SQL proficiency
  • Experience with dbt for building and governing data transformations
  • Knowledge of Airflow for pipeline orchestration
  • Strong experience with GitHub, including version control, pull requests, code reviews, and CI/CD pipeline integration
  • Knowledge of AWS, especially Lambda, CloudWatch, S3, Redshift, and Aurora
  • Experience with Apache Iceberg
  • Knowledge of Data Lakehouse architecture and Medallion Architecture
  • Experience with ETL/ELT processes
  • Nice to have: experience with Databricks
  • Nice to have: knowledge of Kafka, particularly in building producers and event-driven messaging systems

Benefits:

  • End-to-end professional growth opportunities
  • Healthy work environments
  • Real-world, high-impact projects
  • An environment that fosters innovation, technical ownership, and autonomy
  • The opportunity to build a platform from the ground up, with no technical legacy
  • Use of best-in-class tools, best practices, and innovative ideas