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2 days ago
This role is for an experienced data engineer who will be responsible for designing and building large-scale data pipelines in Google Cloud.
- Key Responsibilities:
- Data Pipeline Design and Development: Develop, construct, test and maintain data acquisition pipelines for large volumes of structured and unstructured data in Google Cloud.
- Big Data Processing: Build large and complex datasets based on business requirements and construct 'big data' pipeline architecture.
- Data Integration and Transformation: Leverage a variety of tools in the Google Cloud Ecosystem such as Python, Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage to integrate systems and data pipelines.
- Pipeline Monitoring and Maintenance: Use logs & alerts to effectively monitor pipelines and ensure their reliability and scalability.
Requirements:
- Experience: Requires 5-7 years of experience in a data engineering role – with core GCP experience of 3-4 years.
- Work Hours: Work time will be in CST, until 2 am IST on most days with occasional requirement to stretch work hours by 1-2 hours.
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