Sr. Google Cloud Platform Data engineer /Google Cloud Platform Architect

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

Location:

Atlanta, GA

Duration:

24Months+ Extension

Hourly Rate:

Depending on Experience (DOE)

Work Authorization:

Sr. Google Cloud Platform Data engineer /Google Cloud Platform Architect - Atlanta GA-onsite only locals and F2F interview must- with experience in BigQuery, Dataflow, Pub/Sub, Cloud Run), 8+ years Data Engineering, ETL/ELT, SQL, Python, Linux scripting, data modeling/warehousing, ETL tools (Datastage/Informatica/SSIS), CI/CD, Git, Terraform.

Job Summary

We are seeking a skilled Google Cloud Platform (Google Cloud Platform) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with Google Cloud Platform data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.

Key Responsibilities

Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems. Build and maintain data models, data warehouses, and data lakes for analytics and reporting. Design and implement scalable, secure, and efficient data pipelines on Google Cloud Platform using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting. Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization. Integrate data from on-premise and cloud systems using Cloud Storage, and APIs. Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines. Ensure security and compliance by applying IAM roles, encryption, and network controls. Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions. Implement best practices for data quality, monitoring, and governance.

Required Skills and Experience

Bachelor s degree in Computer Science, Information Technology, or related field. Minimum 8 years of experience in data engineering, preferably in a cloud environment. Minimum 3 years of hands-on and strong expertise in Google Cloud Platform services: o BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring. Proficiency in SQL, Python and Linux scripting. Prior experience with ETL tools such as Datastage, Informatica, SSIS Familiarity with data modeling (star/snowflake) and data warehouse concepts. Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform). Strong problem-solving and analytical mindset. Effective communication and collaboration skills. Ability to work in an agile and fast-paced environment. Google Cloud Platform Professional Data Engineer or Cloud Architect certification is a plus.

CLOUD ANALYTICS TECHNOLOGIES is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

Equal Opportunity Employer

CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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