Google Cloud Platform
2 weeks ago
Title: GCP Analyst
Duration: long-term Contract
Location: Remote/Offshore (India)
Timing: US work hours
Availability: Immediate
Here is what they are looking for in the candidates:
- Good at communication
- Strong pre-screening requested
- 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)
- Build large and complex datasets based on business requirements
- Construct 'big data' pipeline architecture
- Identify opportunities for data acquisition via working with stakeholders and business clients
- Translate business needs to technical requirements
- 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
- Use logs & alerts to effectively monitor pipelines
- Use SAP SLT to replicate SAP tables to Google Cloud using SLT
- 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
- Partition/Cluster and retrieve content in Big Query and use IAM roles & Policy Tags to secure the data
- Use roles to secure access to datasets , authorized views to share data between projects
- Design and build an ingestion pipeline using Rest API
- Recommends ways to improve data quality, reliability, and efficiency
Experience :
- Requires
- 5-7 years of experience in a data engineering role – with core GCP experience of 3-4 years.
- Work time will be in CST, until 2 am IST on most days
- 1-2 times in a month, the resource might be needed to stretch their work hours by 1-2 hours
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