Data engineer • glendale az
Role: GCP Data Engineer</strong></p> <p><strong>Location:Phoenix, AZ<br /> Duration: 6 months</strong><br /> <br /> <br /> <br /> &q... Show more
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The average salary range is between $ 97,680 and $ 178,440 year , with the average salary hovering around $ 119,800 year .
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Role: GCP Data Engineer
Location:Phoenix, AZ
Duration: 6 months
"Strong data engineering hands-on experience with Airflow, Spark and GCP services like Composer, Dataproc, Dataflow, etc.
• Strong technical hands-on experience and knowledge of GCP 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 GCP networking, design, and configuration. Knowledge on GCP Private Service Connect concepts.
• Experience with GCP 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 GCP.
"
Role Descriptions: Strong data engineering hands-on experience with Airflow| Spark and GCP services like Composer| Dataproc| Dataflow| etc. Strong technical hands-on experience and knowledge of GCP 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 GCP networking| design| and configuration. Knowledge on GCP Private Service Connect concepts. Experience with GCP 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 GCP.
Essential Skills: Strong data engineering hands-on experience with Airflow| Spark and GCP services like Composer| Dataproc| Dataflow| etc. Strong technical hands-on experience and knowledge of GCP 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 GCP networking| design| and configuration. Knowledge on GCP Private Service Connect concepts. Experience with GCP 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 GCP.
