Google Cloud Platform Data Engineer

Role: Google Cloud Platform Data Engineer

Location:Phoenix, AZ

Duration: 6 months







"Strong data engineering hands-on experience with Airflow, Spark and Google Cloud Platform services like Composer, Dataproc, Dataflow, etc.

Strong technical hands-on experience and knowledge of Google Cloud Platform database products - Cloud SQL, Spanner, BigQuery, etc., their advantages, features offered, limitations and ideas to overcome those limitations, maintaining service infrastructure and debugging issues.

Deep expertise in MySQL and PostgreSQL including schema design, performance tuning, query optimization and DB administration.

Solid understanding of OLTP and OLAP architectures and practical experience working with both types of systems."



"Deep expertise working with Docker, Kubernetes and Helm (OpenShift/GKE/AKS/EKS).

Strong scripting and automation skills in Python, Shell, and Terraform for Infrastructure management. Knowledge on Java - Spring, Hibernate, JPA, connection pooling etc. is a plus to recommend solutions to applications for debugging connectivity and performance issuesfrom their end.

Proficiency in Google Cloud Platform networking, design, and configuration. Knowledge on Google Cloud Platform Private Service Connect concepts.

Experience with Google Cloud Platform IAM - user and service account access, permissions, roles, policies, best practices.

Strong problem-solving and analytical ability with a keen focus on delivering tangible outputs.

Willingness and genuine interest to work on new Database product POCs and bringing them to Production.

Prior experience supporting enterprise-scale database solutions on Google Cloud Platform.

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Role Descriptions: Strong data engineering hands-on experience with Airflow| Spark and Google Cloud Platform services like Composer| Dataproc| Dataflow| etc. Strong technical hands-on experience and knowledge of Google Cloud Platform database products Cloud SQL| Spanner| BigQuery| etc.| their advantages| features offered| limitations and ideas to overcome those limitations| maintaining service infrastructure and debugging issues. Deep expertise in MySQL and PostgreSQL including schema design| performance tuning| query optimization and DB administration. Solid understanding of OLTP and OLAP architectures and practical experience working with both types of systems. Deep expertise working with Docker| Kubernetes and Helm (OpenShift/GKE/AKS/EKS). Strong scripting and automation skills in Python| Shell| and Terraform for Infrastructure management. Knowledge on Java - Spring| Hibernate| JPA| connection pooling etc. is a plus to recommend solutions to applications for debugging connectivity and performance issuesfrom their end. Proficiency in Google Cloud Platform networking| design| and configuration. Knowledge on Google Cloud Platform Private Service Connect concepts. Experience with Google Cloud Platform IAM user and service account access| permissions| roles| policies| best practices. Strong problem-solving and analytical ability with a keen focus on delivering tangible outputs. Willingness and genuine interest to work on new Database product POCs and bringing them to Production. Prior experience supporting enterprise-scale database solutions on Google Cloud Platform.

Essential Skills: Strong data engineering hands-on experience with Airflow| Spark and Google Cloud Platform services like Composer| Dataproc| Dataflow| etc. Strong technical hands-on experience and knowledge of Google Cloud Platform database products Cloud SQL| Spanner| BigQuery| etc.| their advantages| features offered| limitations and ideas to overcome those limitations| maintaining service infrastructure and debugging issues. Deep expertise in MySQL and PostgreSQL including schema design| performance tuning| query optimization and DB administration. Solid understanding of OLTP and OLAP architectures and practical experience working with both types of systems. Deep expertise working with Docker| Kubernetes and Helm (OpenShift/GKE/AKS/EKS). Strong scripting and automation skills in Python| Shell| and Terraform for Infrastructure management. Knowledge on Java - Spring| Hibernate| JPA| connection pooling etc. is a plus to recommend solutions to applications for debugging connectivity and performance issuesfrom their end. Proficiency in Google Cloud Platform networking| design| and configuration. Knowledge on Google Cloud Platform Private Service Connect concepts. Experience with Google Cloud Platform IAM user and service account access| permissions| roles| policies| best practices. Strong problem-solving and analytical ability with a keen focus on delivering tangible outputs. Willingness and genuine interest to work on new Database product POCs and bringing them to Production. Prior experience supporting enterprise-scale database solutions on Google Cloud Platform.