Data Engineer - GCP
Tasks
- Build distributed data pipelines
- Design production data pipelines
- Develop streaming and batch ingestion jobs
- Implement application logging and monitoring
- Ingest data from multiple sources
- Operationalize data platform on Google Cloud
- Orchestrate workflows and manage dependencies
- Provide technical guidance on Google Cloud solutions
- Transform data for enterprise data lake
Perks/Benefits
- Accessibility accommodations
- Cross-functional development opportunities
- Employee resource groups
- Flexible vacation
- Personal days
- Sick days
- Tea and coffee
- Team collaboration space
- Tuition assistance
- Upskilling through online courses
Skills/Tech-stack
Apache Beam | BigQuery | Cloud Functions | Cloud PubSub | Cloud Spanner | Cloud Storage | Cloud platform | CloudSQL | DBT | Dataflow | Dataproc | Flume | Google Cloud | Google Cloud Platform | HDFS | Hadoop | Hive | Infrastructure as Code | Java | Kafka | Pig | Python | REST | SQL | Scala | Spark | Spring Boot | Sqoop | Terraform | “as-code”
Education
N/A
Roles
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