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

Artifintech; Atlanta (GA); On-site; USD 83,000 - 152,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC seeks a skilled Google Cloud Platform Data Engineer to design, build, and optimize cloud data pipelines. You will implement ETL/ELT processes, model data warehouses, and work with BigQuery, Dataflow, Pub/Sub, and Cloud Run to deliver scalable analytics solutions.

The role requires 8+ years in data engineering, strong SQL/Python, Linux scripting, and experience with Terraform and CI/CD.

Qualifications

• Bachelor's degree in Computer Science or Information Technology required.
• 8+ years of data engineering experience, preferably in cloud environments.
• Hands-on with Google Cloud Platform services: BigQuery, Dataflow, Pub/Sub, Cloud Run, IAM.

Responsibilities

• Design, build and optimize data pipelines on Google Cloud Platform.
• Develop ETL/ELT processes to load data into BigQuery and data warehouses.
• Collaborate with DevOps to automate deployments using Terraform and CI/CD.
• Ensure data quality, security and governance across solutions.

Skills

BigQuery

Dataflow

Pub/Sub

Cloud Run

SQL

Python

Linux scripting

Data modeling

ETL/ELT

CI/CD

Git

Terraform

Education

Bachelor's degree in Computer Science or Information Technology

Tools

Datastage

Informatica

SSIS

Terraform

Git

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.

ARTIFICIAL INTELLIGENCE 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. ARTIFICIAL INTELLIGENCE 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 ARTIFICIAL INTELLIGENCE 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