GCP Data Engineer

Job Title:

GCP Data Engineer
Experience:

4–7 Years
Location:

Bangalore / Gurgaon
Employment Type:

Full-Time
About the Role
We are looking for an experienced

GCP Data Engineer

with a strong background in

Big Data, PySpark, and Python , and hands-on experience with core

Google Cloud Platform (GCP)

services.

The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and analytics solutions that drive business insights.
Key Responsibilities
Design, develop, and maintain scalable and reliable

data pipelines

and

ETL workflows

using

PySpark ,

Python , and GCP native tools.
Work with large-scale datasets on

BigQuery ,

Dataproc ,

Dataflow ,

Pub/Sub , and

Cloud Storage .
Collaborate with data architects, analysts, and business stakeholders to define data models, transformation logic, and performance optimization strategies.
Implement best practices for data quality, data governance, and security on GCP.
Monitor and troubleshoot production data pipelines to ensure reliability and performance.
Optimize data workflows for cost efficiency and scalability in a cloud environment.
Integrate data from multiple sources, both batch and streaming, into centralized analytical platforms.
Required Skills & Experience
4–7 years

of hands-on experience as a

Data Engineer

in large-scale data environments.
Strong expertise in

Google Cloud Platform (GCP)

— including

BigQuery, Dataproc, Dataflow, Pub/Sub, Cloud Storage, Composer , etc.
Proven experience with

Big Data technologies

and distributed data processing using

PySpark

and

Spark SQL .
Strong programming skills in

Python

for data processing and automation.
Solid understanding of

ETL design patterns ,

data warehousing , and

data modeling concepts .
Experience with

Airflow

or other workflow orchestration tools.
Strong debugging, performance tuning, and problem-solving skills.