
Large Scale Data Engineering Professional
8 hours ago
Job Summary:
We are seeking a skilled data engineering professional to join our team. In this role, you will be responsible for designing and developing large-scale data pipelines using Google Cloud technologies.
Main Responsibilities:
- Design and develop data acquisition pipelines for structured and unstructured data
- Create complex datasets based on business requirements
- Develop 'big data' pipeline architecture
- Identify opportunities for data acquisition through collaboration with stakeholders and business clients
- Leverage tools in the Google Cloud Ecosystem such as Python, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage
- Use logs and alerts to effectively monitor pipelines
- Develop JSON messaging structure for integrating with various applications
- Implement DevOps and CI/CD practices to ensure reliability and scalability of data pipelines
- Partition and retrieve content in Big Query while securing data with IAM roles and Policy Tags
Requirements:
- Junior DE: 2-3 years of experience in GCP data engineering role (offshore)
- Senior DE: 4+ years of experience in GCP data engineering role (offshore)
- At least 1 year of hands-on experience in GCP tools highlighted (Python, SQL, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage)
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