Senior GCP Data Engineer & Architect (BigQuery/Dataflow)

Cloud Analytics Technologies, LLC; Atlanta (GA); On-site; USD 83,000 - 152,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks a Sr. Google Cloud Platform Data Engineer/Architect for an on-site role in Atlanta, GA.

You will design, build, and optimize cloud-based data pipelines and analytics solutions using BigQuery, Dataflow, Pub/Sub, and Cloud Run. Ideal candidates have 8+ years in data engineering, strong ETL/ELT, SQL, Python, Linux scripting, and experience with CI/CD, Git, and Terraform.

Qualifications

• Minimum 8 years of data engineering experience in cloud environments.
• Hands-on in Google Cloud Platform services: BigQuery, Dataflow, Pub/Sub, Cloud Run, IAM, Logging and Monitoring.
• Proficient in SQL, Python, and Linux scripting; experience with CI/CD and Git.

Responsibilities

• Develop ETL/ELT processes to extract, transform, and load data into BigQuery or other targets.
• Build data models, data warehouses, and data lakes for analytics and reporting.
• Design scalable, secure data pipelines on Google Cloud using Dataflow, Pub/Sub, Cloud Run; optimize queries and manage costs.
• Collaborate with DevOps to automate deployments with Terraform and CI/CD pipelines.
• Ensure security/compliance via IAM, encryption, and network controls.
• Partner with analysts/scientists to deliver quality data solutions.

Skills

SQL

Python

Linux scripting

ETL/ELT

CI/CD

Git

Terraform

Cloud architecture

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

BigQuery

Dataflow

Pub/Sub

Cloud Run

Cloud Storage

Cloud SQL

AlloyDB

IAM

Logging and Monitoring

Datastage

Informatica

SSIS

Terraform

Job description

Cloud Analytics Technologies, LLC seeks a Sr. Google Cloud Platform Data Engineer/Architect for an on-site role in Atlanta, GA.

You will design, build, and optimize cloud-based data pipelines and analytics solutions using BigQuery, Dataflow, Pub/Sub, and Cloud Run. Ideal candidates have 8+ years in data engineering, strong ETL/ELT, SQL, Python, Linux scripting, and experience with CI/CD, Git, and Terraform.