GCP Engineer

Albatronix; Maharashtra; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Collaborative work culture

Opportunities for technical growth

Flexible work options

Job summary

A technology services company in Mumbai is seeking a GCP Engineer to design and maintain scalable data pipelines on the Google Cloud Platform. The successful candidate will have over 3 years of experience with GCP services and strong Python skills, playing a key role in implementing ETL/ELT workflows. This position offers competitive benefits and focuses on continuous improvement within a collaborative engineering culture.

Qualifications

• 3+ years hands-on experience with Google Cloud Platform services.
• Strong Python skills for data engineering and automation.
• Proven experience building ETL/ELT pipelines.
• Experience with CI/CD, Git workflows, and Terraform IaC.
• Familiarity with Docker and Kubernetes/GKE.
• Monitoring, logging, troubleshooting and cost optimization on GCP.

Responsibilities

• Design and maintain scalable data pipelines using GCP services.
• Develop Python-based data processing jobs and API endpoints.
• Monitor and troubleshoot systems for performance and reliability.
• Implement CI/CD pipelines, IaC, and deployment automation.
• Monitor, troubleshoot, and tune systems for performance and cost on GCP.
• Collaborate with data scientists, product managers, and platform teams.

Skills

Google Cloud Platform services

Python

ETL/ELT pipelines

CI/CD

Git

Tools

BigQuery

Dataflow

Terraform

Docker

Kubernetes

Job description

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Base pay range

Industry & Sector: Enterprise Cloud & Data Engineering — building cloud-native data platforms, analytics pipelines, and API-driven integrations for data-driven products in a fast-growth technology environment. Location: Mumbai, Maharashtra, India. Employment type: Full-time.

About The Opportunity

We are hiring an experienced GCP Engineer to design, build, and operate scalable data pipelines and cloud-native services on Google Cloud Platform. You will work across analytics, ingestion, and API layers to deliver reliable ETL/ELT workflows, real-time streaming, and production-grade integrations that power business insights and applications.

Role & Responsibilities

• Design, implement, and maintain scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Dataform, Pub/Sub).
• Develop Python-based data processing jobs, API endpoints, and automation scripts for ingestion, transformation, and orchestration.
• Build and optimize ETL/ELT processes for batch and streaming workloads, ensuring data quality, throughput, and low latency.
• Implement CI/CD pipelines, IaC, and deployment automation to enable repeatable, secure releases (Git, Terraform, container tools).
• Monitor, troubleshoot, and tune systems for performance, reliability, observability, and cost efficiency on GCP.
• Collaborate with data scientists, product managers, and platform teams to align architecture, data models, and integration patterns.

Skills & Qualifications

Must-Have

• 3+ years hands-on experience with Google Cloud Platform services—BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, and Dataform.
• Strong Python skills for data engineering, automation, and API development.
• Proven experience building ETL/ELT pipelines for batch and streaming data; solid understanding of data modelling and schema design.
• Experience with CI/CD, Git workflows, and Infrastructure as Code (Terraform) for cloud deployments.
• Familiarity with containerisation and orchestration (Docker, Kubernetes/GKE) and production deployment patterns.
• Operational skills in monitoring, logging, troubleshooting, and cost optimisation on GCP (Cloud Monitoring / Logging).

Preferred

• Experience with API design (REST/gRPC) and integrating data platforms with microservices.
• Knowledge of observability stacks (Prometheus, Grafana) and advanced query/optimization techniques in BigQuery.
• Exposure to search platforms (ElasticSearch) or data cataloging/metadata tools.
• Certifications: Google Cloud Professional Data Engineer or Professional Cloud Engineer.

Benefits & Culture

• Collaborative, product-focused engineering culture with strong emphasis on ownership and continuous improvement.
• Opportunities for technical growth—mentoring, certifications, and working across analytics, ML, and platform projects.
• Competitive compensation, flexible hybrid work options, and support for professional development.

We seek a pragmatic, results-oriented engineer who can translate business needs into dependable GCP solutions. If you thrive on building scalable data systems and improving reliability and efficiency in cloud-native environments, we would like to hear from you.

Skills: dataflow, python, data pipeline, gcp, google cloud composer, ci/cd, api, bigquery, git

Seniority level

• Associate

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Human Resources Services

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