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Job Description
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
- Plan, Configure, Deploy and Operate a cloud solution
- Configure access and security.
- Ensure Performance standards by configuring Auto-Scaling Solution to meet varying Load requirements.
- Automating the build and configuration of IaaS based solutions in Google Cloud Platform
- Deliver Proof of Concepts for new Solutions on Cloud
- Good written/Oral Communication, Presentation, Interactive skills with team across geography.
- Works well under pressure and meets deadline.
- Flexible to work either independently or with team.
Job Requirements
- Must be certified by Google.
- Proven experience (5 years +) of developing & delivering data engineering solutions, with experience specifically on Google Cloud Platform, including:
- ETL/ELT models
- Serverless compute (which includes Cloud Run/Google Cloud Functions),
- PubSub, BigQuery, GCS,
- Google Data Catalog,
- Spark/Hadoop via Dataproc,
- Data Loss Prevention
- Highly skilled understanding of advanced SQL
- Proficiency in Python and NodeJS (specifically focused in data and APIs)
- Experience developing Infrastructure as Code (preferably via Terraform)
- Familiarity with data orchestration tooling, such as Airflow, Prefect, Argo or Dagster.
