
Cloud Data Engineer Opportunity
3 days ago
As a Cloud Data Engineering expert, you will design and implement scalable data pipelines using GCP services. This includes orchestrating complex workflows using Apache Airflow and other tools, processing large datasets using ETL techniques and Big Query, and developing and maintaining RESTful or GraphQL APIs for data integration.
Key Responsibilities:
- Design Scalable Data Pipelines
- Orchestrate Complex Workflows
- Process Large Datasets
- Develop APIs for Integration
- Troubleshoot Data Issues
- Collaborate with Cross-Functional Teams
Requirements
To succeed in this role, you should have:
- 6+ Years of Experience in Data Engineering
- Experience with Pyspark, Dataflows, Dataproc, and ETL Techniques
- Proficiency in Java or Python Programming Languages
- Strong Understanding of Cloud-Based Technologies, Including GCP
- Familiarity with Financial or Banking Domain Knowledge
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