CAREERS

Details

GCP (Google Cloud Platform) Architects or Sr Engineer profiles with Datalab experience

Job ID: 0725-48CT

Job Title: GCP (Google Cloud Platform) Architects or Sr Engineer profiles with Datalab experience

Location: Irving TX

Duration: C2C /USC/GC

Salary: Industry Standard

  • Must be an expert in designing/re-designing and implementing application architecture for GCP.
  • Act as a technical liaison between the customer, and vendor providing technical expertise in analysing requirements, recommending solutions and performing validation on various components builtwithin the new GCP environment
  • Be a trusted advisor for cloud initiatives, providing practical and achievable solutions/ ideas, as per customer needs.
  • Experienced at producing multi-tier, high-availability architectures in an Enterprise & cloud environment adhering to DR, Business Continuity and availability best practice
  • Experience in working on Cloud Shell and GCP commands gcloud, gsutil etc.
  • Extensive experience in GCP IaaS such as GCE, GAE, GKE, VPC, DNS, Interconnect, VPN, CDN, Cloud Storage, FileStore, Deployment Manager, Stackdriver.
  • Extensive experience in GCP PaaS such as Cloud Endpoints, Dataflow, Dataproc, Datalab, Dataprep, Cloud Composer, Pub/Sub, Cloud Functions
  • Experience with application and infrastructure management and monitoring tools.
  • Experience working with Cloud IAM, Active Directory, Windows NAS, NFS, Storage, Backups, Oracle, SQL Server, Firewalls and Google Cloud Load Balancing solutions.
  • Experience in O/S (Windows/Linux), configuration, installation, design and maintenance are required
  • Perform Operational maintenance activities which include platform upgrades, patching, monitoring, configuration, and troubleshooting.
  • Experience with tools for assessment and migrations
  • Should be able to build end applications using a correct choice Big Data GCP Components like GCS DataFlow Dataproc BigQuery BigTable Pub Sub and Open Source components like MongoDB CassandraKafka etc
  • Should be able to effectively use GCP tools like DataLab.
  • Should have practical experience in Cloud SQL and Cloud Bigtable.
  • Good experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer
  • Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume)