
Big Data Pipeline Architect
1 week ago
Job Title:
">Data Engineering Lead
- Develop and implement large-scale data pipelines for structured and unstructured data, utilizing batch and real-time processing in the Google Cloud ecosystem.
- Design and build complex datasets based on business requirements, leveraging tools such as Python, Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage, and SAP SLT.
- Collaborate with stakeholders to identify opportunities for data acquisition and translate business needs into technical requirements.
- Leverage DevOps and CI/CD practices to ensure the reliability and scalability of data pipelines, including GitHub and Terraform.
- Secure access to datasets using IAM roles and Policy Tags, and design and build an ingestion pipeline using Rest API.
- Recommend ways to improve data quality, reliability, and efficiency.
Requirements:
">Experience:
- At least 4 years of experience in a GCP data engineering role (offshore).
- Hands-on experience in GCP tools (Python, SQL, Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage) is required.
- Junior DE: 2-3 years of experience in a GCP data engineering role (offshore).
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