Chief Data Architect

2 semanas atrás

Rio de Janeiro, Rio de Janeiro, Brasil beBeeDataEngineering Tempo inteiro R$100.000 - R$150.000
Data Engineering Position

We are seeking a skilled and experienced professional to join our team as a Data Engineer. The primary responsibility of this role will be to design, develop, and maintain data pipelines for threat intelligence ingestion, validation, and export automation flows.

Responsibilities:

  • Design and develop data pipelines for ingesting threat intelligence data from various sources into our data ecosystem.
  • Implement data validation processes to ensure data accuracy, completeness, and consistency.
  • Collaborate with threat analysts to understand data requirements and design appropriate solutions.
  • Develop automation scripts and workflows for data export processes to external systems or partners.
  • Optimize and enhance existing data pipelines for improved performance and scalability.
  • Monitor data pipelines and troubleshoot issues as they arise, ensuring continuous data availability and integrity.
  • Document technical specifications, data flows, and procedures for data pipeline maintenance and support.
  • Stay updated on emerging technologies and best practices in data engineering and incorporate them into our data ecosystem.
  • Provide technical guidance and support to other team members on data engineering best practices and methodologies.

Requirements:

  • Proven experience as a Data Engineer or similar role, with a focus on data ingest, validation, and export automation.
  • Strong proficiency in Python programming language.
  • Experience with data pipeline orchestration tools such as Apache Airflow, Apache NiFi, or similar.
  • Familiarity with cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform.
  • Experience with data validation techniques and tools for ensuring data quality.
  • Experience building and deploying images using containerization technologies such as Docker and Kubernetes.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

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