
Highly Skilled Data Engineering Professional
1 week ago
Our company is seeking an experienced data engineer to design, develop, and maintain large-scale data pipelines in Google Cloud.
Key Responsibilities:
- Design and implement complex data acquisition pipelines for structured and unstructured data
- Create datasets based on business requirements
- Develop 'big data' pipeline architecture
- Identify opportunities for data acquisition through stakeholder engagement
- Translate business needs into technical requirements
- Leverage Google Cloud tools such as Python, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage
- Monitor pipelines using logs and alerts
- Use SAP SLT to replicate SAP tables to Google Cloud
- Develop JSON messaging structure for integration with various applications
- Implement DevOps and CI/CD practices for reliability and scalability
- Partition, cluster, and retrieve content in Big Query while securing data with IAM roles and Policy Tags
- Recommend ways to improve data quality, reliability, and efficiency
Requirements:
- A minimum of 4 years of experience in GCP data engineering (offshore)
- At least 1 year of hands-on experience with GCP tools (Python, SQL, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage)
What We Offer:
- A dynamic work environment
- Opportunities for professional growth and development
- Competitive compensation package
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