n
- Google Cloud Platform (GCP)
N
- Dataproc
n
- Dataflow
N
- Pub/Sub
n
- Cloud Functions
N
- Cloud Composer
n
- BigQuery
N
- BigTable
n
- Google Cloud Storage
N
- Compute Engine
n
- Cloud SQL
N
- IAM
n
- Python /PySpark / Java / Scala / SQL
N
- Hadoop, Hive, Sqoop, Spark
N
- Terraform (preferred) [JD_GCP Data Engineer | Word]
N
nKey Responsibilities
N
n
- Design, develop, and maintain scalable data pipelines on GCP.
N
- Build and optimize ETL/ELT solutions using GCP services.
N
- Develop data processingworkflows using Dataproc, Dataflow, and Cloud Composer.
N
- Implement data ingestion solutions using Pub/Sub and Cloud Functions.
N
- Create and optimize BigQuery-based data warehouses and reporting solutions.
N
- Collaborate with business and technical teams to deliver data-driven solutions.
N
- Automate infrastructuredeployment using Terraform.
N
- Ensure performance, security, reliability, and scalability of cloud-based data platforms.
N
nNote: If your experience matches the above JD and you are available to attend a virtual interview (02-Sep), please apply at the earliest. Suitable candidates will be contacted for further discussion.