About the Role
The role involves contributing to the construction and maintenance of the data pipelines and datasets that support analytics and AI solutions. Working specifically within the Google Cloud Platform (GCP) using BigQuery, key responsibilities include building and maintaining data pipelines, preparing and validating data, supporting analytics and reporting, as well as assisting in the development of AI/ML and generative-AI features.
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Responsibilities
- Build and maintain data pipelines to ensure efficient and effective data handling.
- Prepare and validate data to ensure accuracy and reliability.
- Support analytics and reporting activities through comprehensive data management.
- Assist in the development of AI/ML features and generative AI functionalities.
- Collaborate within data architecture, adhering to established standards and design patterns.
- Work under the guidance of senior engineers, with a focus on learning best practices.
Requirements
- Experience with Google Cloud Platform (GCP) and BigQuery.
- Familiarity with data pipeline construction and management techniques.
- Knowledge of data preparation and validation processes.
- Basic understanding of analytics and reporting methodologies.
- Interest or experience in AI/ML technologies and applications.
- Ability to work collaboratively within a team environment and follow guidance from senior team members.
Benefits
- Opportunity to work with advanced technology in cloud computing, AI, and analytics.
- Engage hands-on in developing AI-driven solutions.
- Contribute to data-informed decision-making across various corporate functions, including maritime and logistics.
- Support for professional growth and learning in the field of data architecture and engineering.
