Senior Google Cloud Platform Data Engineer

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Seeking a highly experienced Google Cloud Platform Data Engineer / Database Platform Engineer with strong expertise in Google Cloud Platform (Google Cloud Platform), Data Engineering, Database Administration, Kubernetes, and Infrastructure Automation. The ideal candidate will have hands-on experience with Airflow, Spark, Composer, Dataproc, Dataflow, Cloud SQL, Spanner, BigQuery, and enterprise-scale database platforms. The role requires deep knowledge of MySQL, PostgreSQL, OLTP/OLAP architectures, containerization, cloud networking, IAM, and Infrastructure as Code (Terraform).

This position involves designing, optimizing, automating, and supporting large-scale Google Cloud Platform data and database environments while driving database modernization, cloud-native solutions, troubleshooting, and production support.

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Mandatory Requirements

• Strong hands-on experience with:
  • Apache Airflow
  • Apache Spark
  • Google Cloud Platform Composer
  • Dataproc
  • Dataflow
• Expertise in Google Cloud Platform database services:
  • Cloud SQL
  • Cloud Spanner
  • BigQuery
• Deep expertise in:
  • MySQL
  • PostgreSQL
  • Database Administration (DBA)
  • Query Optimization
  • Schema Design
  • Performance Tuning
• Strong understanding of:
  • OLTP Architectures
  • OLAP Architectures
• Hands-on experience with:
  • Docker
  • Kubernetes
  • Helm
  • GKE/OpenShift/EKS/AKS
• Automation and scripting:
  • Python
  • Shell Scripting
  • Terraform
• Google Cloud Platform Networking and Security
• Google Cloud Platform IAM Administration
• Enterprise-level Production Support Experience

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Key Responsibilities

• Design, develop, and maintain cloud-native data engineering solutions on Google Cloud Platform.
• Build and optimize data pipelines using Airflow, Spark, Dataproc, and Dataflow.
• Manage and support Google Cloud Platform database platforms including Cloud SQL, Spanner, and BigQuery.
• Perform database performance tuning, troubleshooting, and query optimization.
• Design scalable OLTP and OLAP data architectures.
• Automate cloud infrastructure deployment using Terraform and scripting tools.
• Administer Kubernetes environments and containerized applications.
• Configure and maintain Google Cloud Platform IAM roles, policies, and service accounts.
• Support enterprise-scale production environments and incident management.
• Evaluate new database technologies through POCs and drive production adoption.
• Collaborate with application teams to resolve database connectivity and performance issues.

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Core Technical Skills

Google Cloud Platform (Google Cloud Platform)

• Cloud SQL
• Cloud Spanner
• BigQuery
• Dataproc
• Dataflow
• Composer
• GKE
• Private Service Connect
• IAM
• Networking
• Cloud Operations

Data Engineering

• Apache Airflow
• Apache Spark
• ETL Pipelines
• Batch Processing
• Data Lake Architecture
• Data Warehousing

Databases

• MySQL
• PostgreSQL
• Database Administration
• Query Optimization
• Performance Tuning
• High Availability
• Backup & Recovery
• Replication

Containers & DevOps

• Docker
• Kubernetes
• Helm
• OpenShift
• AKS
• EKS
• GKE

Automation & Infrastructure

• Terraform
• Python
• Shell Scripting
• Infrastructure as Code (IaC)
• CI/CD

Nice to Have

• Java
• Spring Framework
• Hibernate
• JPA
• Connection Pooling
• Application Performance Tuning