
Data Engineer for Large-Scale Data Pipelines
1 day ago
Job Title: Data Engineer
About the RoleWe are seeking an experienced data engineer to design, build and maintain large-scale data pipelines in Google Cloud Platform. The ideal candidate will have a strong background in data engineering with expertise in GCP.
The primary responsibility of this role is to develop, construct, test and maintain data acquisition pipelines for large volumes of structured and unstructured data. This includes batch and real-time processing in Google Cloud.
Key Responsibilities- Develop complex datasets based on business requirements
- Construct 'big data' pipeline architecture using tools such as Python, Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage
- Leverage a variety of tools in the Google Cloud Ecosystem to integrate systems and data pipelines
- Use logs & alerts to effectively monitor pipelines
- Develop JSON messaging structure for integrating with various applications
- Leverage DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines
- Requires 5-7 years of experience in a data engineering role – with core GCP experience of 3-4 years
- Strong communication skills and ability to work with stakeholders and business clients
- Able to translate business needs to technical requirements
Remote work arrangement available. Work hours will be in CST, until 2 am IST on most days. Occasional flexibility may be required to stretch work hours by 1-2 hours every few weeks.
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