GCP Data Engineer (BigQuery Dataflow Composer)
Role Description:
- Design and build scalable secure and high-performance data pipelines on GCP.
- Develop and optimize ETL/ELT workflows using Cloud Composer Dataflow Dataproc and BigQuery.
- Implement data ingestion frameworks for batch and streaming data (Pub/Sub Kafka Dataflow).
- Model partition and optimize datasets in BigQuery for analytics use cases.
- Collaborate with data scientists architects and business teams to deliver end-to-end data solutions.
- Ensure data quality reliability and robustness through monitoring validation and automation.
- Implement CI/CD pipelines for data workflows using Cloud Build Git and Terraform.
- Optimize cost performance and scalability across GCP data services.
- Ensure security best practices IAM policies and compliance with organizational standards.
Skills:
- Digital: Big Data and Hadoop Ecosystems
- Digital: Google Data Engineering
GCP Data Engineer (BigQuery Dataflow Composer)Role Description:Design and build scalable secure and high-performance data pipelines on GCP.Develop and optimize ETL/ELT workflows using Cloud Composer Dataflow Dataproc and BigQuery.Implement data ingestion frameworks for batch and streaming data (Pub/...
GCP Data Engineer (BigQuery Dataflow Composer)
Role Description:
- Design and build scalable secure and high-performance data pipelines on GCP.
- Develop and optimize ETL/ELT workflows using Cloud Composer Dataflow Dataproc and BigQuery.
- Implement data ingestion frameworks for batch and streaming data (Pub/Sub Kafka Dataflow).
- Model partition and optimize datasets in BigQuery for analytics use cases.
- Collaborate with data scientists architects and business teams to deliver end-to-end data solutions.
- Ensure data quality reliability and robustness through monitoring validation and automation.
- Implement CI/CD pipelines for data workflows using Cloud Build Git and Terraform.
- Optimize cost performance and scalability across GCP data services.
- Ensure security best practices IAM policies and compliance with organizational standards.
Skills:
- Digital: Big Data and Hadoop Ecosystems
- Digital: Google Data Engineering
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