Junior Data Engineer Graduate Program

Richemont

  • Lisboa
  • Permanente
  • Horário completo
  • Há 27 dias
ROLE OVERVIEWWe are seeking an enthusiastic and aspiring Junior Data Engineer to join our growing data team. In this entry-level role, you will have the opportunity to learn and contribute to building, maintaining, and optimizing our data infrastructure, with a strong emphasis on DataOps principles. You will work closely with data analysts and other engineers, learning to ensure the reliability, scalability, and security of our data pipelines.KEY RESPONSIBILITIES
  • Translate the business requirements into technical specifications, in cooperation with the data product owner;
  • Design, develop, and maintain robust and scalable data pipelines using Airflow;
  • Utilize dbt for data transformation and modeling, ensuring data quality and consistency;
  • Employ Terraform for infrastructure as code (IaC), automating the provisioning and management of our data infrastructure;
  • Implement and maintain CI/CD pipelines for data engineering workflows;
  • Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks;
  • Implement data quality checks and monitoring to ensure data accuracy and reliability;
  • Contribute to the development of data engineering best practices and standards;
  • Manage and maintain data repositories using Git;
  • Automate data-related tasks to improve efficiency and reduce manual effort;
  • Cooperate with the support teams and provide L3 support to comply with predefined SLA's.
KEY QUALIFICATIONS
  • University degree in computer science, engineering, or a comparable field;
  • Strong academic record with coursework or projects related to data engineering, databases, or software development;
  • Familiarity with data warehousing concepts and technologies;
  • Strong foundational knowledge and proficiency in Python and SQL, or a strong willingness to develop these skills rapidly;
  • Exposure to Google Cloud Platform (GCP) data services (e.g., BigQuery, Cloud Storage), dbt, Terraform, and Git through academic projects or personal exploration;
  • Strong problem-solving and analytical skills;
  • Excellent communication and collaboration skills;
  • Eagerness to learn and a strong passion for data engineering.

Richemont

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