Job Title: GCP Data Engineer
Location: Hyderabad / Pune
Experience: 710 Years

Job Description

We are seeking an experienced GCP Data Engineer / ETL Developer with strong expertise in Google Cloud Platform, DataStage, PostgreSQL, and data warehousing technologies. The ideal candidate will be responsible for designing, developing, automating, and supporting enterprise data solutions while ensuring high availability, scalability, and operational excellence.

Key Responsibilities

- Design, develop, and support data engineering solutions on Google Cloud Platform (GCP).
- Develop and maintain ETL processes using IBM DataStage 9.1/11.5/11.7.
- Build automation solutions using Groovy scripting, Unix Shell scripting, and Terraform.
- Work extensively with PostgreSQL and complex SQL queries for data analysis and optimisation.
- Manage and support GCP services including Compute Engine, Cloud Storage, Cloud Buckets, App Engine, and Cloud SQL.
- Implement CI/CD pipelines using Jenkins, GitHub, Nexus Repository Manager, Artifact Repository, and DevOps best practices.
- Develop, test, and deploy ETL solutions following SDLC and Agile methodologies.
- Support data-related infrastructure and architecture to optimise data storage and data consumption.
- Ensure service resilience, sustainability, availability, and recovery objectives are achieved.




- Troubleshoot incidents and provide production support for data platforms and applications.
- Collaborate with cross-functional teams to deliver scalable and efficient data solutions.

Required Experience

- 710 years of overall development experience.
- Minimum 5 years of hands-on experience in IBM DataStage Development.
- Strong expertise in PostgreSQL and database technologies.
- Robust knowledge of Google Cloud Platform (GCP) services.
- Experience with Terraform, Unix Shell Scripting, and Groovy Scripting.
- Strong SQL skills with experience writing complex queries and performing data analysis.
- Excellent understanding of Data Warehousing Concepts and ETL architecture.
- Experience working in Agile and DevOps environments using Jira.
- Exposure to scheduling tools such as Control-M or equivalent.
- Experience in enterprise-scale data migration and integration projects.

Preferred Skills

- Kubernetes
- Docker
- NGINX
- Redis
- Flask
- Vue.js
- Jest
- CI/CD Process Automation
- GCP Architecture & Engineering
- Project Management Tools

Data Warehousing & BI Expertise

- Data Warehousing Concepts
- Dimensional Data Modelling
- ETL Architecture & Design
- Business Intelligence Platforms
- Data Analysis & Reporting Solutions

Mandatory Skill

- PostgreSQL

Good to Have

- Dimensional Data Modelling

📌 GCP Data Engineer (Hyderabad)
🏢 LTM
📍 Hyderabad