
Cloud Data Engineer
2 days ago
About the Role:
The ideal candidate will possess experience in data engineering with a focus on cloud-based solutions, and be able to develop, construct, test, and maintain complex data acquisition pipelines for large volumes of structured and unstructured data.
Key Responsibilities:
- Develop and implement data pipelines using cloud services such as Cloud Data Fusion, Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage
- Build large and complex datasets based on business requirements
- Construct scalable 'big data' pipeline architecture
- Identify opportunities for data acquisition via collaboration with stakeholders and business clients
- Translate business needs to technical requirements
- Leverage various tools within the Google Cloud Ecosystem
- Use logs & alerts to effectively monitor pipelines
- Develop JSON messaging structure for integrating with multiple applications
- Leverage DevOps and CI/CD practices to ensure the reliability and scalability of data pipelines
- Partition/Cluster and retrieve content in Big Query, utilizing IAM roles & Policy Tags to secure data
- Design and build an ingestion pipeline using Rest API
- Recommends ways to improve data quality, reliability, and efficiency
Required Skills and Qualifications
- Requires 5-7 years of experience in a data engineering role – with core GCP experience of 3-4 years
- Ability to work flexible hours, including occasional extended work periods
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