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1 day ago
This challenging role focuses on developing data engineering expertise using the Google Cloud Ecosystem. The ideal candidate will have 5-7 years of experience in designing, building, and maintaining large-scale data pipelines and datasets.
- Data Engineering:
- Design and construct complex data acquisition pipelines for structured and unstructured data.
- Develop large datasets based on business requirements.
- Create scalable 'big data' pipeline architecture.
- Prioritize opportunities for data acquisition through collaboration with stakeholders and clients.
- Utilize various tools within the Google Cloud Ecosystem to integrate systems and data pipelines.
- Maintain logs and alerts for effective monitoring of pipelines.
- Safeguard sensitive data using IAM roles & Policy Tags in BigQuery.
Key Responsibilities:
- Translate business needs into technical requirements.
- Implement DevOps and CI/CD practices to ensure the reliability and scalability of data pipelines.
- Develop an ingestion pipeline using Rest API principles.
Requirements:
- 5-7 years of experience in a data engineering role – with core GCP experience of 3-4 years.
What We Offer:
A dynamic work environment that fosters growth and professional development.
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