Noida, Uttar Pradesh
Job Summary
Job Description – GCP Architect (pipeline creation/ 10+ years of exp/ Dataform)
Role Overview
We are looking for a skilled GCP Data Engineer to design, build, and optimize scalable data pipelines and data platforms on Google Cloud. The role involves working with large datasets, ensuring high data quality, and enabling analytics and reporting solutions across business functions.
GCP Data Engineers are typically responsible for designing and maintaining data pipelines and infrastructure using Google Cloud services to support analytics and decision-making.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage
Build and manage ETL/ELT workflows for structured and unstructured data
Develop and orchestrate data pipelines using Cloud Composer (Airflow)
Perform data ingestion, transformation, and integration across multiple source systems
Design and implement data models and data warehouse solutions (BigQuery-based)
Ensure data quality, validation, reconciliation, and governance
Monitor and optimize pipeline performance, cost, and scalability
Work closely with data scientists, analysts, and business teams to deliver data solutions
Ensure security, compliance, and access control using IAM and best practices
Key Responsibilities
Required Skills & Experience
Technical Skills
Strong hands-on experience with Google Cloud Platform (GCP) services:
BigQuery
Dataflow / Dataproc/Dataform
Pub/Sub
Cloud Storage
Cloud Composer (Airflow)
Proficiency in Python and SQL for data processing
Experience with ETL/ELT pipelines, data modeling, and warehousing concepts
Data Engineering Capabilities
Strong understanding of:
Data warehousing (DWH)
Dimensional modeling / Medallion architecture
Data pipeline orchestration and scheduling
Experience in batch + real-time data processing
Soft Skills
Strong problem-solving and analytical skills
Effective stakeholder communication and collaboration
Ability to work in Agile / Scrum delivery models
Experience & Qualifications
Bachelor’s/Master’s in Computer Science, Engineering, or related field
7+ years of experience in data engineering / cloud data platforms
Hands-on experience in building data pipelines on GCP
Good to Have
Experience in US Healthcare domain
Skill Requirements
Primary & Secondary Skills (Quick View)
Category
Skills
Primary
GCP Data Engineering, BigQuery, Dataflow, Data Pipelines
Secondary
Python, SQL, Airflow, CI/CD
Nice to Have
Healthcare domain, Spark, ML integration
Other Requirements
1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-
