Google Data Engineering

Viraaj HR Solutions Private Limited

3 years

8 - 30 Lacs

greater kolkata area

Posted:3 days ago| Platform:

Apply

Skills Required

data engineering analytics finance saas etl power ml design gcp dataflow latency reporting orchestration apache airflow monitoring logging optimization governance controls drive reliability code tuning terraform composer learning support certification training compensation python sql storage

Work Mode

On-site

Job Type

Full Time

Job Description

About The Opportunity

We operate in the Cloud Data Engineering and Analytics sector delivering scalable, secure, and cost-optimized data platforms on Google Cloud for enterprise customers across finance, retail, and SaaS verticals. The team builds production-grade ETL/ELT systems, real-time analytics, and data models that power business intelligence and ML workflows.Role: Google Cloud Data Engineer (On-site, India) — work with cross-functional product and analytics teams to design, build, and operate data pipelines and platforms using Google Cloud technologies.Role & Responsibilities

Design and implement robust batch and streaming data pipelines on GCP using Dataflow, Pub/Sub, and Cloud Storage.
Develop, optimize, and maintain data models and analytics datasets in BigQuery for low-latency reporting and ML feature stores.
Author and maintain orchestration workflows and CI/CD for data pipelines using Apache Airflow and Terraform.
Collaborate with data scientists, analysts, and product owners to translate business requirements into reliable data solutions and SLAs.
Implement monitoring, logging, cost-optimization, and data governance controls (access patterns, partitioning, table lifecycle).
Drive platform reliability through code reviews, performance tuning, and operational runbooks; mentor junior engineers.

Skills & Qualifications

Must-Have (technical skills)

BigQuery
Dataflow
Pub/Sub
Cloud Storage
Apache Airflow
Python
SQL
Terraform

Preferred (technical Differentiators)

Dataproc
Apache Spark
Cloud Composer

Qualifications

3+ years of hands-on data engineering experience; proven delivery on GCP data platforms preferred.
Strong grounding in data modeling, ETL/ELT patterns, and performance tuning for analytical workloads.
GCP certification(s) such as Google Cloud Professional Data Engineer or equivalent is a plus.
Must be eligible to work on-site in India and collaborate across India time zones.

Benefits & Culture Highlights

On-site role with a fast-paced, learning-first engineering culture and clear career progression.
Support for GCP certification and training, plus hands-on exposure to enterprise-scale data projects.
Competitive compensation, health benefits, and focused mentorship from senior cloud engineers.

This role is keyword-optimized for candidates with strong Google Cloud data engineering experience—BigQuery, Dataflow, Pub/Sub, Airflow, Python and Terraform proficiency is critical. If you are passionate about building high-throughput, reliable data platforms that enable analytics and ML at scale, we want to hear from you.
Skills: google data engineering,sql,terraform,cloud,cloud storage,python

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Viraaj HR Solutions Private Limited

Login to

Please Verify Your Phone or Email

Confirm Action

Google Data Engineering