Job Description

ABOUT THE ROLE

Location- Remote

Job Type - Contract (6 Months)

Experience:

5-7 Years

We're hiring a

Senior Data Engineer

with deep expertise in

Google Cloud Platform (GCP)

to lead the design and development of scalable data solutions. You'll architect robust pipelines, orchestrate workflows, and enable seamless

cross-cloud data movement

to power advanced analytics and machine learning initiatives.

Key Responsibilities

Design and implement scalable data pipelines using

Dataflow

and

Python

Build and optimize data warehouses with

BigQuery

Orchestrate workflows using

Cloud Composer (Airflow)

Integrate real-time data streams via

Pub/Sub

Architect and manage

cross-cloud data movement

strategies (e.g., GCP ? Azure/AWS) Collaborate with data scientists, analysts, and platform engineers to deliver high-quality datasets Ensure data governance, security, and performance across systems
Required Skills

5-7 years of experience in data engineering, with strong GCP exposure Proficiency in

BigQuery

,

Dataflow

,

Cloud Composer

, and

Pub/Sub

Advanced

Python

skills for data processing and automation Experience with

cross-cloud architecture

and data migration strategies Solid understanding of data modeling, partitioning, and performance optimization Familiarity with CI/CD and version control (e.g., Git)
Bonus Skills

Experience with

Databricks

,

Delta Lake

, or

Apache Beam

Knowledge of

Terraform

or infrastructure-as-code tools Exposure to

Azure Data Factory

or

AWS Glue

Why Join Us

Work on high-impact, enterprise-scale data projects Flexible work culture with global collaboration Opportunity to shape multi-cloud data architecture Competitive compensation and career growth
Job Types: Full-time, Contractual / Temporary, Freelance
Contract length: 6 months

Pay: ₹80,000.00 - ₹100,000.00 per month

Work Location: Remote