
Lead Data Engineering Specialist
5 days ago
Job Summary:
We are seeking an experienced Data Engineer to develop and implement large-scale data acquisition pipelines using Google Cloud Platform tools.
The ideal candidate will have a strong background in developing, constructing, testing, and maintaining complex data pipelines.
Key Responsibilities- Develop and implement data pipelines using Google Cloud Platform tools such as Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage.
- Design and build large and complex datasets based on business requirements.
- Construct 'big data' pipeline architecture and identify opportunities for data acquisition through collaboration with stakeholders and business clients.
- Translate business needs into technical requirements and leverage DevOps and CI/CD practices to ensure the reliability and scalability of data pipelines.
- Design and build an ingestion pipeline using REST API.
- A minimum of 4 years of experience in a GCP data engineering role.
- At least 1 year of hands-on experience in GCP tools highlighted including Python, SQL, Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage.
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