GCP Data Engineer: BigQuery & Dataflow Pipelines Lead

HMG AMERICA LLC; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

HMG AMERICA LLC in the United States is seeking an experienced GCP Data Engineer to design, develop, and maintain scalable data solutions on Google Cloud Platform. You will build and optimize ETL/ELT pipelines, work with BigQuery, Dataflow, Pub/Sub, and Cloud Storage, and collaborate with data architects and business teams.

The role emphasizes modern data architectures, data quality, security, governance, and cost awareness, with hands-on SQL and Python development.

Qualifications

• Strong hands-on experience with GCP Data Engineering.
• Proficiency in BigQuery, Dataflow, and Pub/Sub.
• Strong SQL and Python skills for data transformations.
• Experience with ETL/ELT and data pipeline development.
• Experience with cloud-based data architecture.
• Strong communication and problem-solving skills.
• Familiarity with modern data architectures and data governance.

Responsibilities

• Design and develop scalable data pipelines and data processing solutions on GCP.
• Build and optimize ETL/ELT workflows for large-scale data.
• Work with BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
• Develop data transformations using SQL and Python.
• Implement data integration across multiple sources and systems.
• Optimize data pipelines for performance, reliability, and cost.
• Implement data quality, security, governance, and monitoring practices.
• Collaborate with Data Architects, Analysts, and business teams.
• Participate in solution design, development, testing, and production support.

Skills

GCP Data Engineering

SQL

Python

ETL/ELT

Cloud data architecture

Communication

Problem-solving

Tools

BigQuery

Dataflow

Pub/Sub

Dataproc

Composer/Airflow

Cloud Functions

Dataform

Terraform/IaC

Job description

HMG AMERICA LLC in the United States is seeking an experienced GCP Data Engineer to design, develop, and maintain scalable data solutions on Google Cloud Platform. You will build and optimize ETL/ELT pipelines, work with BigQuery, Dataflow, Pub/Sub, and Cloud Storage, and collaborate with data architects and business teams.

The role emphasizes modern data architectures, data quality, security, governance, and cost awareness, with hands-on SQL and Python development.