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Chief Data Infrastructure Architect
2 weeks ago
We are seeking a highly motivated and experienced Cloud Data Engineer to design, build, and maintain robust data pipelines. The ideal candidate will have deep expertise in cloud-based data processing technologies.
Key Responsibilities:
- Data Pipeline Design: Design, develop, and maintain scalable data pipelines using cloud services (GCP, AWS, or Azure).
- Data Ingestion & Storage: Implement data ingestion, transformation, and storage solutions.
- Data Quality & Security: Ensure data quality, integrity, and security across all data systems.
- Monitoring & Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues.
- Collaboration & Communication: Collaborate with data scientists and other stakeholders to understand data requirements.
Requirements:
- B.Tech. / M. Tech. degree or higher educational qualification.
- 2+ years of experience in Data Engineering or related roles.
- Proficiency with cloud services such as GCP, AWS, or Azure is required.
- Hands-on experience with Distributed Stream Processing Technology ecosystem.
About this role:
This is an exciting opportunity for individuals who enjoy designing, building, and maintaining complex data systems. As a Cloud Data Engineer, you will play a key role in shaping our data infrastructure and ensuring the accuracy and reliability of our data.
