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

Robotics Technologies LLC; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology firm in Atlanta is seeking a skilled Google Cloud Platform Data Engineer to design, build, and optimize data pipelines. The candidate must have hands-on experience with Google Cloud services and strong ETL/ELT development skills. Key responsibilities include developing ETL processes, building data models, and collaborating with teams to deliver high-quality data solutions. Ideal candidates should have 8+ years of data engineering experience and a solid understanding of data architecture and performance optimization.

Qualifications

• 8+ years of experience in data engineering, preferably in a cloud environment.
• 3+ years of hands-on expertise in Google Cloud Platform services.
• Strong problem-solving and analytical mindset.

Responsibilities

• Develop ETL/ELT processes to extract and transform data.
• Build and maintain data models, data warehouses, and data lakes for analytics.
• Optimize BigQuery queries and manage partitioning and clustering.

Skills

Google Cloud Platform services

SQL

Python

Linux scripting

ETL tools (Datastage/Informatica/SSIS)

Data modeling

CI/CD

Git

Terraform

Education

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

Tools

BigQuery

Cloud Storage

Cloud Run

Dataflow

Cloud SQL

AlloyDB

Cloud Balancer

PubSub

IAM

Logging and Monitoring

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.

• 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.

ROBOTICS 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. ROBOTICS 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 ROBOTICS 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.