
Cloud Data Pipelines Specialist
2 days ago
Job Overview:
We are seeking a highly motivated and experienced Data Engineer to design, build, and maintain robust data pipelines.
About the RoleThe ideal candidate will have deep expertise in cloud-based data processing technologies using GCP, AWS, or Azure.
- Create scalable data pipelines using cloud services (GCP, AWS, or Azure).
- Implement data ingestion, transformation, and storage solutions.
- Evaluate and ensure data quality, integrity, and security across all data systems.
- Maintain 99.999% uptime & performance SLAs of the production environment.
- Collaborate with data scientists and other stakeholders to understand data requirements.
- Optimize data pipelines for performance, reliability, and cost-effectiveness.
Key Responsibilities:
Data Engineering TasksPlease note that these tasks may overlap depending on project needs.
- B.Tech. / M. Tech. degree or higher educational qualification.
- At least 2 years of experience in Data Engineering or related roles.
- Production deployment experience, including managing scalable data pipelines that process high-volume, real-time data.
- Proficiency with cloud services such as GCP, AWS, or Azure is required.
- Familiarity with Distributed Stream Processing Technology ecosystem.
- Strong programming skills in languages like Python, Scala, or NodeJS.
- SQL, NoSQL, Timeseries databases experience.
- Distributed data processing and parallel programming knowledge.
- Good understanding of data warehousing concepts and technologies.
These qualifications are desirable but not necessary:
- Experience developing data pipelines & processing services.
- IoT data knowledge and related technologies.
- Google Cloud Certified Professional Data Engineer certification.
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