GCP Developer

Quess Corp Limited; Hyderabad; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Quess Corp Limited seeks a Cloud Data Engineer in Hyderabad to design scalable GCP solutions and optimize BigQuery datasets. You will build data pipelines with Dataflow/Beam, Pub/Sub, and Cloud Storage, while enabling secure access and cost control.

You will implement CI/CD using Cloud Build, GitHub Actions, and Jenkins, and work with IAM, Secret Manager, and VPC security. Strong SQL skills and BigQuery design are essential.

Qualifications

• 3–5 years of professional software or cloud engineering experience.
• At least 2 years hands‑on Google Cloud Platform experience.
• Practical experience with BigQuery architecture, advanced SQL, schema design, and query optimization.
• Experience with Cloud Run, Cloud Functions, or GKE.
• Experience with Cloud Pub/Sub and Cloud Storage.
• Knowledge of Cloud SQL, Firestore, or Cloud Bigtable.
• Familiarity with ETL/ELT concepts and large‑scale data ingestion.
• Experience with Docker, Git, and automated deployment processes.
• Experience with CI/CD tools such as Cloud Build, GitHub Actions, or Jenkins.
• Strong understanding of cloud monitoring, troubleshooting, reliability, and cost optimization.

Responsibilities

• Design and implement scalable, secure GCP solutions.
• Develop and optimize enterprise datasets in BigQuery.
• Design partitioned and clustered schemas and write advanced SQL.
• Build data pipelines using Dataflow, Apache Beam, Pub/Sub, and Cloud Storage.
• Support batch and streaming ingestion of structured and unstructured data.
• Deploy applications using Cloud Run, Cloud Functions, or GKE.
• Provision and manage GCP infrastructure with Terraform or Deployment Manager.
• Implement CI/CD pipelines using Cloud Build, GitHub Actions, or Jenkins.
• Configure IAM, service accounts, Secret Manager, and VPC security controls.
• Monitor systems with Cloud Logging and Cloud Monitoring; troubleshoot issues and improve reliability.
• Collaborate with development, data, DevOps, and security teams.

Skills

GCP

BigQuery

SQL

Data engineering

CI/CD

Docker

Git

Data pipelines

Apache Beam

Tools

Cloud Run

Cloud Functions

GKE

Terraform

Cloud Deployment Manager

Cloud Build

GitHub Actions

Jenkins

Pub/Sub

Job description

• Design and implement scalable, secure, and cost-efficient GCP solutions.
• Develop and optimize enterprise datasets in BigQuery.
• Design partitioned and clustered schemas.
• Write advanced SQL and tune query performance.
• Manage BigQuery data lifecycles, ingestion, and cost optimization.
• Build data pipelines using Dataflow, Apache Beam, Pub/Sub, and Cloud Storage.
• Support batch and streaming ingestion of structured and unstructured data.
• Deploy applications using Cloud Run, Cloud Functions, or GKE.
• Provision and manage GCP infrastructure using Terraform or Cloud Deployment Manager.
• Implement CI/CD pipelines using Cloud Build, GitHub Actions, or Jenkins.
• Configure and manage IAM, service accounts, Secret Manager, and VPC security controls.
• Monitor systems using Cloud Logging and Cloud Monitoring.
• Troubleshoot production issues and improve application availability and reliability.
• Collaborate with application development, data, DevOps, and security teams.

Required Qualifications

• 3–5 years of professional software engineering or cloud engineering experience.
• At least 2 years of hands‑on Google Cloud Platform experience.
• Practical experience with BigQuery architecture, advanced SQL, schema design, and query optimization.
• Experience with Cloud Run, Cloud Functions, or GKE.
• Experience with Cloud Pub/Sub and Cloud Storage.
• Knowledge of Cloud SQL, Firestore, or Cloud Bigtable.
• Familiarity with ETL/ELT concepts and large‑scale data ingestion.
• Experience with Docker, Git, and automated deployment processes.
• Experience with CI/CD tools such as Cloud Build, GitHub Actions, or Jenkins.
• Strong understanding of cloud monitoring, troubleshooting, reliability, and cost optimization.

Preferred Qualifications

• Google Cloud Professional Cloud Developer certification.
• Experience with Apache Beam and Google Cloud Dataflow.
• Knowledge of IAM, service accounts, Secret Manager, and VPC security principles.
• Experience supporting Java‑based cloud applications or microservices.
• Familiarity with Java SDK‑based batch and streaming pipelines.