Data Engineering Specialist
3 weeks ago
Key Responsibilities:
- Design and implement scalable data architectures, data models, data pipelines, and data integration solutions on Google Cloud platforms, ensuring seamless data flow and efficient data storage.
- Develop, construct, test, and maintain data pipelines and workflows using GCP services such as Dataflow, Dataproc, Pub/Sub, and BigQuery, leveraging their capabilities to drive business insights.
- Integrate various data sources and formats into GCP for analysis and processing, applying data transformation and enrichment techniques to prepare data for analytics.
- Implement and manage data warehouse on GCP, primarily using BigQuery, ensuring efficient data storage, retrieval, and analysis capabilities, and adhering to data governance and regulatory requirements.
- Monitor data pipelines, identify bottlenecks, and optimize performance and cost using GCP monitoring tools and best practices, ensuring data-driven decision making.
- Implement data security measures to safeguard sensitive data, ensuring compliance with data governance and regulatory requirements, and maintaining data integrity.
About the Role:
This role is ideal for a skilled data engineer who can design and implement scalable data architectures, data models, data pipelines, and data integration solutions on Google Cloud platforms. The successful candidate will have experience with GCP services such as Dataflow, Dataproc, Pub/Sub, and BigQuery, and will be able to integrate various data sources and formats into GCP for analysis and processing.
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