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2 weeks ago
A Data Engineer is needed to design, build, and maintain large-scale data pipelines using Google Cloud Platform.
Responsibilities:
- Develop, construct, test, and maintain data acquisition pipelines for structured and unstructured data in GCP.
- Create complex datasets based on business requirements.
- Construct 'big data' pipeline architecture.
- Identify opportunities for data acquisition via stakeholder collaboration.
- Translate business needs to technical requirements.
- Leverage various tools in the GCP Ecosystem, including Python, Data Flow, DataStream, CDC, Cloud Functions, Pub Sub, BigQuery, and Cloud Storage.
- Use logs & alerts to effectively monitor pipelines.
- Develop a JSON messaging structure for integrating with applications.
- Implement DevOps and CI/CD practices (GitHub, Terraform) to ensure reliability and scalability of data pipelines.
- Manage data partitioning, clustering, and retrieval in Big Query, and secure it using IAM roles & Policy Tags.
- Design and build an ingestion pipeline using Rest API.
- Recommend ways to improve data quality, reliability, and efficiency.
Requirements:
- Requires 5-7 years of experience in a data engineering role, with core GCP experience of 3-4 years.
- Work hours will be in CST until 2 am IST on most days.
- 1-2 times a month, additional work hours may be required.
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