Pessoa Engenheira de Dados Pleno

New
J
JobgetherData engineering
Based in BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
AWSPythonSQLApache AirflowGCPGitAzureData engineeringTerraform

Requirements

  • Bachelor’s degree in Systems Analysis and Development, Computer Science, Computer Engineering, or a related field.
  • Advanced SQL and Python skills.
  • Practical professional experience in data engineering and building data pipelines.
  • Experience integrating data sources and systems, including databases, APIs, and SFTP.
  • Experience with workflow orchestration tools, preferably Apache Airflow.
  • Familiarity with Git-based version control, preferably GitFlow.
  • Hands-on experience with Terraform.
  • Experience with cloud environments such as AWS, Azure, or GCP.
  • Experience troubleshooting and using logging, alerts, and data pipeline monitoring.
  • Understanding of DataOps principles, CI/CD practices, and data modeling.
  • Strong analytical and problem-solving skills, with attention to data quality and system reliability.
  • Good communication and collaboration skills, including the ability to support and guide junior professionals.

Responsibilities

  • Develop and evolve the data platform by designing and implementing end-to-end data pipelines.
  • Define and implement automated data testing practices to improve data quality and optimize processing and storage performance.
  • Establish observability and monitoring practices, investigate incidents, and troubleshoot pipeline issues.
  • Participate in data architecture decisions covering storage models, integrations, scalability, and platform design.
  • Develop and maintain batch and streaming data ingestion processes.
  • Support junior team members by sharing knowledge and providing technical guidance.
  • Ensure compliance with data security and governance policies.
  • Monitor pipeline performance, interpret system alerts, and proactively identify potential issues.
  • Improve data engineering practices, reliability, and operational efficiency.
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