Job Description
- Design and develop scalable data pipelines and architectures using Google Cloud Platform technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
- Build and manage ETL processes to transform diverse data sources into structured, reliable formats.
- Collaborate with data scientists and analysts to deliver solutions that enable insights and smarter decisions.
- Maintain documentation for pipelines, data models, and architecture to ensure clarity and consistency.
- Troubleshoot and resolve data issues while safeguarding quality and integrity.
- Optimise data workflows for performance, scalability, and cost efficiency.
- Automate data-related processes to streamline operations.
- Stay ahead of industry trends and adopt best practices in Google Cloud Platform and data engineering.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- 5+ years of experience as a Data Engineer or in a similar role.
- Strong programming skills in BigQuery, Python, SQL, and Google Cloud Platform.
- Proven experience with ETL development and data modeling.
- Familiarity with data lakehouse concepts and techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Hands-on experience with Google Cloud Platform technologies (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
- Experience in financial services would be an advantage.
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