
Large Scale Data Acquisition Engineer
2 weeks ago
We are seeking a highly skilled Data Engineer to join our team and help us build, construct, test, and maintain large-scale data acquisition pipelines in the Google Cloud ecosystem.
Responsibilities:
- Design and develop complex datasets based on business requirements.
- Construct scalable pipeline architecture using GCP tools.
- Collaborate with stakeholders and business clients to identify opportunities for data acquisition.
- Translate business needs into technical requirements.
- Develop JSON messaging structure for integrating with various applications.
- Implement DevOps and CI/CD practices to ensure reliability and scalability of data pipelines.
- Secure data access using IAM roles & Policy Tags.
- Design and build ingestion pipelines using Rest API.
- Recommend ways to improve data quality, reliability, and efficiency.
Requirements:
- Junior Data Engineer: 2-3 years of experience in a GCP data engineering role.
- Senior Data Engineer: 4+ years of experience in a GCP data engineering role.
- At least 1 year of hands-on experience in GCP tools including Python, SQL, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage.
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