Cloud Data Solutions Architect

Location : Gurgaon and Bangalore

Experience : 8+ years (data engineering / analytics engineering), with previous lead responsibilities

Job Descriptions for Big data or Cloud Engineer

We are looking for candidates with hands on experience in pyspark with GCP cloud.

Qualifications

• 3-10 years of IT experience range is preferred.
• Able to effectively use GCP managed services e.G. Dataproc, Dataflow, pub / sub, Cloud functions, Big Query, GCS - At least 4 of these Services.
• Good to have knowledge on Cloud Composer, Cloud SQL, Big Table, Cloud Function.
• Strong experience in Big Data technologies – Hadoop, Sqoop, Hive and Spark including DevOPs.
• Good hands on expertise on either Python or Java programming.
• Good Understanding of GCP core services like Google cloud storage, Google compute engine, Cloud SQL, Cloud IAM.
• Good to have knowledge on GCP services like App engine, GKE, Cloud Run, Cloud Built, Anthos.
• Ability to drive the deployment of the customers’ workloads into GCP and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for GCP cloud implementations.
• Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities.
• Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
• Act as a subject-matter expert OR developer around GCP and become a trusted advisor to multiple teams.
• Technical ability to become certified in required GCP technical certifications.

Mandatory Skills

Immediate joiners are preferred.