
Lead Data Engineer for Cloud Technology Innovations
2 weeks ago
Seeking a seasoned Data Engineer to lead our Google Cloud Platform (GCP) initiatives.
The ideal candidate will have extensive experience in Big Data technologies, including Hadoop, NoSQL, Spark, Kafka, and others.
- At least 1-2 years of production experience in GCP, with other cloud experience being a significant plus.
Responsibilities include deploying customers' workloads into GCP, providing guidance on cloud adoption models, service integrations, and recommendations.
Required Skills & Qualifications:
GCP experience is mandatory, with a strong background in data engineering. Other required skills include:
- Effective use of Dataproc, Dataflow, Pubsub, Cloud Functions, Big Query, and GCS.
- Strong knowledge of Cloud Composer, Cloud SQL, Big Table, and Cloud Function.
- Hands-on expertise in either Python or Java programming.
- Good understanding of GCP core services, including Google Cloud Storage, Google Compute Engine, Cloud SQL, and Cloud IAM.
Benefits:
This role offers the opportunity to drive technology innovation and provide technical solutions based on industry standards using GCP's IaaS, PaaS, and SaaS capabilities.
Others:
As a Data Engineer, you will act as a subject-matter expert or developer around GCP, becoming a trusted advisor to multiple teams. The ability to become certified in required GCP technical certifications is also essential.
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