Engenheiro de Dados

J
JobgetherData engineering
Based in Brazil; Work remotely from Brazil.Full-Time
Salary not disclosed
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Job Details

Required Skills
AWSPostgreSQLPythonSQLSnowflakeData modelingdbt

Requirements

  • Have a completed or ongoing university degree in Computer Science, Computer Engineering, Mathematics, Engineering, or a related field.
  • Have solid experience with SQL and programming, preferably Python.
  • Have practical experience with PostgreSQL, including database operations and data modeling.
  • Have knowledge and experience with AWS infrastructure in data engineering environments.
  • Be proficient with data workflow orchestration and transformation tools, particularly Prefect and dbt.
  • Understand data pipeline development, ETL/ELT processes, and scalable data engineering practices.
  • Be familiar with data warehouse, data lake, and lakehouse architectures and data structure design.
  • Understand data solution architecture and contribute to reliable, maintainable, and scalable systems.
  • Bring analytical and problem-solving skills, with attention to data quality, performance, and technical reliability.
  • Communicate and collaborate with technical teams and non-technical stakeholders.

Responsibilities

  • Design and evolve data architectures across data warehouses, data lakes, and lakehouse environments.
  • Develop, maintain, and optimize ETL/ELT workflows for data ingestion, transformation, and delivery.
  • Design and implement reliable data pipelines that provide efficient access to high-quality data.
  • Model databases using established design principles and dimensional modeling techniques, including Kimball methodology.
  • Configure, maintain, and improve data infrastructure in AWS environments.
  • Orchestrate data workflows using dbt and Prefect.
  • Monitor and improve data system availability, performance, reliability, and quality.
  • Establish data governance practices and engineering standards.
  • Collaborate with business functions to translate requirements into data models and technical solutions.
  • Develop automations, dashboards, and metrics to address business needs.
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