Chief Data Solutions Specialist

1 semana atrás

Porto Alegre, Brasil beBeeData Tempo inteiro

Job Summary We are seeking an experienced Data Architect to design and implement scalable data pipelines for our threat research team. The ideal candidate will have a strong background in data engineering, with expertise in ingesting, validating, and exporting large datasets. Key Responsibilities

  • Design and develop complex data pipelines using Apache Airflow, Apache NiFi, or similar tools.
  • Collaborate with threat analysts to understand data requirements and develop appropriate solutions.
  • Implement data validation processes to ensure data accuracy, completeness, and consistency.
  • 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.
  • Experience with cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform.
  • Familiarity with 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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