
Enterprise Data Architect
17 hours ago
A Data Engineer is responsible for designing, developing, testing, deploying and maintaining large-scale data pipelines using various technologies.
This role involves working with tools and technologies such as:
- Dataflow: A fully-managed service for transforming and enriching data streams.
- Cloud Composer: A managed workflow orchestration service that lets you create, manage, and monitor workflows.
- Airflow: A platform to programmatically schedule tasks or workflows.
- BigQuery: A fully-managed enterprise data warehouse service that can handle petabytes of structured and semi-structured data.
- Cloud Storage: Highly durable and available object storage service for storing large amounts of unstructured data such as raw logs, images, audio files, and text files.
- Pub/Sub: A messaging service for event ingestion and processing applications.
As a Data Engineer, you will work closely with cross-functional teams to identify requirements and implement solutions that meet business needs.
Required skills and qualifications include expertise in SQL Database and GCP, specifically BigQuery for real-time analytics.
Key Responsibilities:
- Design, develop, test, deploy, and maintain large-scale data pipelines.
- Work closely with cross-functional teams to identify requirements and implement solutions.
- Collaborate with stakeholders to understand business needs and develop solutions that meet those needs.
If you are passionate about working with data and have experience with GCP and SQL Database, we encourage you to apply for this role.
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