Job Description

Job Summary:

We are seeking an experienced and results-driven

GCP Data Engineer

with over 4 years of hands-on experience in building and optimizing data pipelines and architectures using Google Cloud Platform (GCP). The ideal candidate will have strong expertise in data integration, transformation, and modeling, with a focus on delivering scalable, efficient, and secure data solutions. This role requires a deep understanding of GCP services, big data processing frameworks, and modern data engineering practices.

Key Responsibilities:

Design, develop, and deploy scalable and reliable

data pipelines

on

Google Cloud Platform

. Build data ingestion processes from various structured and unstructured sources using

Cloud Dataflow

,

Pub/Sub

,

BigQuery

, and other GCP tools. Optimize data workflows for performance, reliability, and cost-effectiveness. Implement data transformations, cleansing, and validation using

Apache Beam

,

Spark

, or

Dataflow

. Work closely with data analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions. Ensure data security and compliance with company and regulatory standards. Monitor, troubleshoot, and enhance data systems to ensure high availability and accuracy. Participate in code reviews, design discussions, and continuous integration/deployment processes. Document data processes, workflows, and technical specifications.

Required Skills:

Minimum

4 years of experience

in data engineering with at least

2 years working on GCP

. Strong proficiency in

GCP services

such as

BigQuery

,

Cloud Storage

,

Dataflow

,

Pub/Sub

,

Cloud Composer

,

Cloud Functions

, and

Vertex AI

(preferred). Hands-on experience in

SQL

,

Python

, and

Java/Scala

for data processing and transformation. Experience with

ETL/ELT

development, data modeling, and data warehousing concepts. Familiarity with

CI/CD pipelines

, version control (Git), and DevOps practices. Solid understanding of data security, IAM, encryption, and compliance within cloud environments. Experience with performance tuning, workload management, and cost optimization in GCP.

Preferred Qualifications:

GCP Professional Data Engineer Certification. Experience with real-time data processing using

Kafka

,

Dataflow

, or

Pub/Sub

. Familiarity with

Terraform

,

Cloud Build

, or infrastructure-as-code tools. Exposure to data quality frameworks and observability tools. Previous experience in an agile development environment.
Job Types: Full-time, Permanent

Pay: ?473,247.51 - ?2,000,000.00 per year

Schedule:

Monday to Friday
Application Question(s):

Mention Your Last Working Date
Experience:

Google Cloud Platform: 4 years (Preferred) Python: 4 years (Preferred) ETL: 4 years (Preferred)
Work Location: In person