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GCP Data Engineer
2 months ago
Role : GCP Data Engineer
Job Description :
Data Pipeline Development :
- Design, implement, and maintain scalable data pipelines using GCP services such as Dataflow, Dataproc, and Pub/Sub.
- Ensure efficient extraction, transformation, and loading (ETL) of data.
Cloud Infrastructure Management :
- Manage and optimize GCP data storage and processing resources, including BigQuery, Cloud Storage, and Bigtable.
- Implement best practices for data security, cost management, and performance optimization.
Python Programming :
- Develop and maintain Python scripts and applications to automate data processing tasks, create data transformations, and integrate with various GCP services.
Data Integration :
- Integrate data from multiple sources, including structured and unstructured data, into a unified data platform.
- Work with APIs, databases, and other data sources to ensure data consistency and accuracy.
Performance Tuning :
- Monitor and optimize data workflows and pipelines for performance and reliability.
- Implement strategies for data quality management and handle issues related to data integrity and consistency.
Collaboration :
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
- Provide technical support and guidance on data-related issues.
Documentation :
- Create and maintain comprehensive documentation for data pipelines, processes, and system configurations.
- Ensure that all documentation is up-to-date and accessible.
Innovation :
- Stay current with GCP technologies and industry trends.
- Identify opportunities for improving data engineering practices and recommend new tools or technologies to enhance data processing and analysis.
(ref:hirist.tech)