Cloud Data Engineering Lead
3 days ago
Data Engineering Lead - Cloud Migration
About the Role
We are seeking a highly skilled Data Engineer to lead our cloud migration project. The ideal candidate will have a strong background in creating robust data ingestion pipelines and a deep understanding of ETL processes, particularly within the Google Cloud Platform ecosystem.
Key Responsibilities
- Develop and maintain scalable and reliable data pipelines using PySpark and SQL to support the migration from Oracle's on-premises data warehouse (structured data source) and unstructured data sources to BigQuery.
- Design and implement bulletproof data ingestion and integration processes that ensure data quality and consistency.
- Use the dbt tool to create and manage ETL processes that transform and load data efficiently from/into BigQuery.
- Ensure the resilience and efficiency of data transformation jobs that can handle large volumes of data within a cloud-based architecture.
- Work closely with our Data Engineers to gather requirements for the currently developed data pipelines.
- Provide expertise in GCP services like DataProc, DataFlow, Cloud Functions, Workflows, Cloud Composer, and BigQuery, advocating for best practices in cloud-based data management.
- Collaborate with data architects and other stakeholders to optimize data models and warehouse design for the cloud environment.
- Develop and implement monitoring, quality, and validation processes to ensure the integrity of data pipelines and data.
- Document all data engineering processes and create clear specifications for future reference and compliance.
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