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About the Role:
We are seeking an experienced Data Engineer to help build and enhance a cloud-based data warehouse hosted on Microsoft Azure. This role offers a unique opportunity to shape and develop a data platform, enabling impactful decision-making through innovative solutions and data insights.
Key Responsibilities:
Develop and maintain a cloud-based data warehouse using modern ETL tools.
Build and optimise scalable data pipelines and workflows.
Implement and support data visualisation tools such as Tableau or Power BI.
Design and enhance data architecture and models (e.g., facts/dimensions, materialised views).
Integrate APIs and support migration to a cloud environment.
Collaborate with stakeholders to understand business needs and deliver tailored solutions.
Mentor and support junior developers while contributing to an agile team environment.
What We're Looking For:
Technical Expertise:
Extensive experience with cloud data platforms, preferably Snowflake.
Advanced SQL skills and experience with DBT.
Proficiency in Python or a similar programming language.
Hands-on experience with RESTful and GraphQL API integration.
Tool Knowledge:
Familiarity with cloud-based ETL tools and CI/CD pipelines (e.g., Azure DevOps, Jenkins).
Experience integrating Tableau/Power BI with cloud data platforms.
Knowledge of source control systems (e.g., GIT).
Soft Skills:
Ability to communicate technical concepts and insights effectively to diverse stakeholders.
Experience working in agile teams using methodologies like Scrum or Kanban
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