Job description

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.

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